Revealing the nature of science through art and design-based research, KU Leuven, Belgium
Innovation Manager 'AI for Health Decision Support', KU Leuven, Belgium
PhD student ENGAGE 02, European Synchrotron Radiation Facility (ESRF), France
Future PhD Positions available at the International Max Planck Research School for Living Matter, International Max Planck Research School for Living Matter (IMPRS-LM), Germany
Postdoctoral researcher on Microsystems for Minimally-invasive Surgery, University of Stuttgart, Germany
Postdoctoral Research Fellow in Affective (Neuro)science for 3 years (with potential extension) at UCLouvain (supervised by Prof. A. Heeren) on Stress Resilience and Biobehavioral Synchrony, Université catholique de Louvain, Belgium
Postdoctoral Researcher - Computational Biology (f/m/d), University of Cologne, Germany
Postdoctoral researcher position on urban adaptation under the ERC-funded project IMAGINE Adaptation (2nd call), BC3 Basque Centre for Climate Change, Spain
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Doctoral Researcher in Social Sciences: Sociology of stratification and inequalities, University of Luxembourg, Luxembourg
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Innovation Manager 'AI for Health Decision Support', KU Leuven, Belgium
PhD student ENGAGE 02, European Synchrotron Radiation Facility (ESRF), France
Future PhD Positions available at the International Max Planck Research School for Living Matter, International Max Planck Research School for Living Matter (IMPRS-LM), Germany
Postdoctoral researcher on Microsystems for Minimally-invasive Surgery, University of Stuttgart, Germany
Postdoctoral Research Fellow in Affective (Neuro)science for 3 years (with potential extension) at UCLouvain (supervised by Prof. A. Heeren) on Stress Resilience and Biobehavioral Synchrony, Université catholique de Louvain, Belgium
Postdoctoral Researcher - Computational Biology (f/m/d), University of Cologne, Germany
Postdoctoral researcher position on urban adaptation under the ERC-funded project IMAGINE Adaptation (2nd call), BC3 Basque Centre for Climate Change, Spain
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
Doctoral Researcher in Social Sciences: Sociology of stratification and inequalities, University of Luxembourg, Luxembourg
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Doctoral fellow - Department of European, Public and International Law, Ghent University, Belgium
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Two postdoctoral positions are available immediately in the lab of Dr. Jennifer Hunter at the School of Optometry and Vision Science, University of Waterloo, Canada. Our research is focused on understanding retinal fluorescence as a biomarker of cell function in healthy and diseased eyes. As we continue to advance this technology, we are looking for enthusiastic and accomplished people to join our team.
The lab is focused on translational research through developing new imaging technologies and applying them to answer scientific questions in preclinical animal models and in people. Research will involve adaptive optics retinal imaging in human subjects and/or in rodents. Our focus is on understanding normal retinal function and the changes that occur during retinal degeneration. In people, we have a particular focus on aging and Stargardt disease. The successful candidate will have the opportunity to utilise an existing adaptive optics scanning light ophthalmoscopes (AOSLO) and to participate in the construction and maintenance of a new AOSLO. A current area of interest is the application of our recently deployed adaptive optics fluorescence lifetime imaging ophthalmoscopy to image the retinal pigment epithelium layer in people (https://doi.org/10.1364/BOE.451628) or in combination with two-photon excited fluorescence ophthalmoscopy in pre-clinical models.
Successful candidates will have a PhD in a related field including, but not limited to, Vision Science, Neuroscience, Biomedical Engineering, or Optics. Experience with retinal imaging, retinal disease or vision science is highly desired, but not required. Initial appointment is for 1 year and may be renewed up to 4 years based on performance.
Applicants should submit by email a statement of interest, curriculum vitae, and the names and contact information of three references to Jennifer Hunter (jjhunter@uwaterloo.ca). Applications will be considered on a rolling basis until both positions are filled.
Jennifer J Hunter, PhD FOptica
Associate Professor
School of Optometry and Vision Science
University of Waterloo
Ontario, Canada
The lab is focused on translational research through developing new imaging technologies and applying them to answer scientific questions in preclinical animal models and in people. Research will involve adaptive optics retinal imaging in human subjects and/or in rodents. Our focus is on understanding normal retinal function and the changes that occur during retinal degeneration. In people, we have a particular focus on aging and Stargardt disease. The successful candidate will have the opportunity to utilise an existing adaptive optics scanning light ophthalmoscopes (AOSLO) and to participate in the construction and maintenance of a new AOSLO. A current area of interest is the application of our recently deployed adaptive optics fluorescence lifetime imaging ophthalmoscopy to image the retinal pigment epithelium layer in people (https://doi.org/10.1364/BOE.451628) or in combination with two-photon excited fluorescence ophthalmoscopy in pre-clinical models.
Successful candidates will have a PhD in a related field including, but not limited to, Vision Science, Neuroscience, Biomedical Engineering, or Optics. Experience with retinal imaging, retinal disease or vision science is highly desired, but not required. Initial appointment is for 1 year and may be renewed up to 4 years based on performance.
Applicants should submit by email a statement of interest, curriculum vitae, and the names and contact information of three references to Jennifer Hunter (jjhunter@uwaterloo.ca). Applications will be considered on a rolling basis until both positions are filled.
Jennifer J Hunter, PhD FOptica
Associate Professor
School of Optometry and Vision Science
University of Waterloo
Ontario, Canada
[CVML]Postdoctoral Researcher Position in Human-Robot Interaction & Machine Learning at Sorbonne University
The PIRoS (Perception, Interaction and Robotique Sociales) team of the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University (Paris) is looking for a for a highly motivated and ambitious postdoctoral researcher to conduct research on human-robot interaction & machine learning.
The successful candidate will work on a subset of the following topics:
- Interactive robot learning
- Multimodal perception of human activities
- Generation of multimodal robot behaviors
- Transparency / Explainability of social robots
The candidate will have the opportunity to conduct experiments with various robots (Franka Emika, Pepper, NAO) as well as working on simulation.
She/He will work in collaboration with PhD students, post-docs and public/private partners of ISIR.
This position is for one year (12 months) contract, but there is a possibility to be extended depending on the performance and circumstances.
Requirements:
The ideal candidate must have a PhD degree and a strong background in machine learning, social robotics or cognitive science/neuroscience.
The successful candidate should have:
- Experience in human-robot interaction
- Good knowledge of Machine Learning Techniques
- Good knowledge of experimental design and statistics
- Excellent publication record
- Strong skills in Python
- Willing to work in multi-disciplinary and international teams
- Good communication skills
Application
Interested candidates should submit the following by email before the end of September 2022 in a single PDF file to: mohamed.chetouani[@]sorbonne-universite.fr with the subject: Application Post-Doc HRI-ML
1. Curriculum vitae with 2 references (recommendation letters are also welcome)
2. One-page summary of research background and interests
3. At least three papers (either published, accepted for publication, or in-preparation) demonstrating expertise in one or more of the areas mentioned above
4. Doctoral dissertation abstract and the expected date of graduation (for those who are currently pursuing a Ph.D)
-------------------------------------------------------------------
Mohamed Chetouani
Professeur
PIRoS (Perception, Interaction et Robotique Sociales)
Sorbonne Université - Campus Pierre et Marie Curie
Faculté des Sciences et Ingénierie
Institut des Systèmes Intelligents et de Robotique
CNRS UMR7222
Pyramide – Tour 55
Boîte courrier 173
4 Place Jussieu
75252 Paris Cedex 05, FRANCE
Tel : (33) 01 44 27 63 08
Email : Mohamed.Chetouani@sorbonne-universite.fr
people.isir.upmc.fr/chetouani/
The PIRoS (Perception, Interaction and Robotique Sociales) team of the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University (Paris) is looking for a for a highly motivated and ambitious postdoctoral researcher to conduct research on human-robot interaction & machine learning.
The successful candidate will work on a subset of the following topics:
- Interactive robot learning
- Multimodal perception of human activities
- Generation of multimodal robot behaviors
- Transparency / Explainability of social robots
The candidate will have the opportunity to conduct experiments with various robots (Franka Emika, Pepper, NAO) as well as working on simulation.
She/He will work in collaboration with PhD students, post-docs and public/private partners of ISIR.
This position is for one year (12 months) contract, but there is a possibility to be extended depending on the performance and circumstances.
Requirements:
The ideal candidate must have a PhD degree and a strong background in machine learning, social robotics or cognitive science/neuroscience.
The successful candidate should have:
- Experience in human-robot interaction
- Good knowledge of Machine Learning Techniques
- Good knowledge of experimental design and statistics
- Excellent publication record
- Strong skills in Python
- Willing to work in multi-disciplinary and international teams
- Good communication skills
Application
Interested candidates should submit the following by email before the end of September 2022 in a single PDF file to: mohamed.chetouani[@]sorbonne-universite.fr with the subject: Application Post-Doc HRI-ML
1. Curriculum vitae with 2 references (recommendation letters are also welcome)
2. One-page summary of research background and interests
3. At least three papers (either published, accepted for publication, or in-preparation) demonstrating expertise in one or more of the areas mentioned above
4. Doctoral dissertation abstract and the expected date of graduation (for those who are currently pursuing a Ph.D)
-------------------------------------------------------------------
Mohamed Chetouani
Professeur
PIRoS (Perception, Interaction et Robotique Sociales)
Sorbonne Université - Campus Pierre et Marie Curie
Faculté des Sciences et Ingénierie
Institut des Systèmes Intelligents et de Robotique
CNRS UMR7222
Pyramide – Tour 55
Boîte courrier 173
4 Place Jussieu
75252 Paris Cedex 05, FRANCE
Tel : (33) 01 44 27 63 08
Email : Mohamed.Chetouani@sorbonne-universite.fr
people.isir.upmc.fr/chetouani/
The following positions are open in the department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic.
Applications for all positions will be reviewed on a rolling basis with a first cut-off point on 30. 9. 2022.
Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic
A Postdoc or Junior Scientist position is available to join the Complex Networks and Brain Dynamics group for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. For more information, conditions and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/en.
Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic
We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, https://www.cs.cas.cz/. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/. For more information, conditions and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/en.
Do not hesitate to contact the group leader / Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/
Applications for all positions will be reviewed on a rolling basis with a first cut-off point on 30. 9. 2022.
Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic
A Postdoc or Junior Scientist position is available to join the Complex Networks and Brain Dynamics group for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. For more information, conditions and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/en.
Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic
We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, https://www.cs.cas.cz/. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/. For more information, conditions and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/en.
Do not hesitate to contact the group leader / Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/
Postdoc position available at Brain and More lab
The Brain&More Lab (BAM) is looking for post-docs working on neuroimaging (brain connectivity, machine learning, image analysis).
The current projects include analysis via recurrent neural networks, reservoir computing, and causality. Though, we
are openminded to related topics.
Starting literature:
"Identifying nonlinear dynamical systems via generative recurrent neural networks with
applications to fMRI" Koppe et al. Plos Comp.Bio 2019 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007263
"Structurally constrained effective brain connectivity" Crimi et al. Neuroimage 2021 https://www.sciencedirect.com/science/article/pii/S1053811921005644
If interested apply here (even if countdown expered, position filled when suitable candidate is found):
https://sano.science/job-offers/sano-postdoc-machine-learning-for-neuroimaging/
The Brain&More Lab (BAM) is looking for post-docs working on neuroimaging (brain connectivity, machine learning, image analysis).
The current projects include analysis via recurrent neural networks, reservoir computing, and causality. Though, we
are openminded to related topics.
Starting literature:
"Identifying nonlinear dynamical systems via generative recurrent neural networks with
applications to fMRI" Koppe et al. Plos Comp.Bio 2019 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007263
"Structurally constrained effective brain connectivity" Crimi et al. Neuroimage 2021 https://www.sciencedirect.com/science/article/pii/S1053811921005644
If interested apply here (even if countdown expered, position filled when suitable candidate is found):
https://sano.science/job-offers/sano-postdoc-machine-learning-for-neuroimaging/
journals.plos.org
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI
Author summary Computational processes in the brain are often assumed to be implemented in terms of nonlinear neural network dynamics. However, experimentally we usually do not have direct access to this underlying dynamical process that generated the observed…
Postdoctoral Fellow – Electrophysiology/fMRI Data Analysis in International Center for Primate Brain Research, Shanghai, China
The International Center for Primate Brain Research (ICPBR), co-directed by Prof. Mu-Ming Poo and Prof. Nikos K. Logothetis, affiliated with the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT, http://english.cebsit.cas.cn/), the Chinese Academy of Sciences in Shanghai is a newly established international research facility for conducting highest-level primate brain research.
The Dynamic Embodied Brain Laboratory (DEB Lab) at the ICPBR seeks to hire a Postdoctoral Fellow with experience in multivariate data analysis including electrophysiological data analysis (spike and LFP), with an interest to analyze unique concurrent electrophysiology and fMRI (ePhys/fMRI) data (e.g., Nature 2012; Nature 2021), and with the possibility to also contribute to the acquisition of novel experimental data.
The DEB Lab examine the structural and functional organization of neural pathways engendering subjective awareness of feelings in humans. This examination is made in non-human primates (NHP) with specific aims relating to (1) how internal bodily states (interoception) are represented in the brain, (2) how interoception embodies emotion and shapes cognitive processes, and (3) how interoception contributes to functional network dynamics in a context that may serve access consciousness processes (Frontiers 2019). The DEB Lab combines cutting-edge methods including high-resolution tract tracing, electrophysiology, fMRI, optogenetics, and single cell Patch-Seq, with a particular interest for the von Economo neuron (Neuron 2012). Over the years, the DEB Lab has acquired unique ePhys/fMRI data that contribute to our understanding of the fundamental body-brain-mind interactions.
Denoscription of the position: http://english.cebsit.cas.cn/lab/HENRYEvrard/Join_28936/202206/t20220607_306254.html
More information of the DEB Lab: http://english.cebsit.cas.cn/lab/HENRYEvrard/research/
To get more information, please do not hesitate to contact the lab manager Qian Liang (qian.liang@icpbr.ac.cn) or directly contact the principal investigator Dr. Henry Evrard (henry.evrard@icpbr.ac.cn).
International Center for Primate Brain Research(ICPBR),
Center for Excellence in Brain Science and Intelligence Technology (CEBSIT),
Institute of Neuroscience (ION),
Chinese Academy of Sciences (CAS)
DEB Lab
500 Qiang Ye Road, Songjiang District, Shanghai 201602, China
Email: qian.liang@icpbr.ac.cn
The International Center for Primate Brain Research (ICPBR), co-directed by Prof. Mu-Ming Poo and Prof. Nikos K. Logothetis, affiliated with the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT, http://english.cebsit.cas.cn/), the Chinese Academy of Sciences in Shanghai is a newly established international research facility for conducting highest-level primate brain research.
The Dynamic Embodied Brain Laboratory (DEB Lab) at the ICPBR seeks to hire a Postdoctoral Fellow with experience in multivariate data analysis including electrophysiological data analysis (spike and LFP), with an interest to analyze unique concurrent electrophysiology and fMRI (ePhys/fMRI) data (e.g., Nature 2012; Nature 2021), and with the possibility to also contribute to the acquisition of novel experimental data.
The DEB Lab examine the structural and functional organization of neural pathways engendering subjective awareness of feelings in humans. This examination is made in non-human primates (NHP) with specific aims relating to (1) how internal bodily states (interoception) are represented in the brain, (2) how interoception embodies emotion and shapes cognitive processes, and (3) how interoception contributes to functional network dynamics in a context that may serve access consciousness processes (Frontiers 2019). The DEB Lab combines cutting-edge methods including high-resolution tract tracing, electrophysiology, fMRI, optogenetics, and single cell Patch-Seq, with a particular interest for the von Economo neuron (Neuron 2012). Over the years, the DEB Lab has acquired unique ePhys/fMRI data that contribute to our understanding of the fundamental body-brain-mind interactions.
Denoscription of the position: http://english.cebsit.cas.cn/lab/HENRYEvrard/Join_28936/202206/t20220607_306254.html
More information of the DEB Lab: http://english.cebsit.cas.cn/lab/HENRYEvrard/research/
To get more information, please do not hesitate to contact the lab manager Qian Liang (qian.liang@icpbr.ac.cn) or directly contact the principal investigator Dr. Henry Evrard (henry.evrard@icpbr.ac.cn).
International Center for Primate Brain Research(ICPBR),
Center for Excellence in Brain Science and Intelligence Technology (CEBSIT),
Institute of Neuroscience (ION),
Chinese Academy of Sciences (CAS)
DEB Lab
500 Qiang Ye Road, Songjiang District, Shanghai 201602, China
Email: qian.liang@icpbr.ac.cn
english.cebsit.cas.cn
Center for Excellence in Brain Science and Intelligence Technology
中国科学院脑科学与智能技术卓越创新中心,神经科学研究所,中国科学院
Postdoc Position, NA and ML, GSSI-SNS, Italy
Gran Sasso Science Institute (GSSI) and Scuola Normale Superiore (SNS)
have a joint opening for a Postdoctoral Fellow position on the
analysis and training of neural dynamical systems.
The successful candidate will collaborate with faculty members at GSSI
and SNS, developing novel techniques and algorithms for neural
networks defined via nonlinear systems of ODEs and PDEs, combining
techniques from Numerical Analysis, Network Science, and Machine
Learning.
This is a two year position, with the first year spent at GSSI in
L'Aquila and the second year at SNS in Pisa, coordinated by the three
PIs: Michele Benzi (SNS), Nicola Guglielmi (GSSI), Francesco Tudisco
(GSSI).
We are looking for candidates who have a PhD in Mathematics, Physics,
Computer Science or related disciplines and who have research
experience in one or more of the following areas: numerical linear
algebra and matrix theory; (numerical methods for) dynamical systems;
numerical optimization and applications; matrix methods in systems
theory and data science; (mathematics of) machine learning and
compressed sensing; graph theory and network science.
Deadline for application: September 12, 2022
To apply and for more information, please see:
https://amministrazionetrasparente.sns.it/bando/numerical-stability-neural-
dynamical-systems
For inquiries, please do not hesitate to write to: numerics@gssi.it
Computer Vision and Machine Learning (CVML) email list www page: https://lists.auth.gr/sympa/info/cvml
Gran Sasso Science Institute (GSSI) and Scuola Normale Superiore (SNS)
have a joint opening for a Postdoctoral Fellow position on the
analysis and training of neural dynamical systems.
The successful candidate will collaborate with faculty members at GSSI
and SNS, developing novel techniques and algorithms for neural
networks defined via nonlinear systems of ODEs and PDEs, combining
techniques from Numerical Analysis, Network Science, and Machine
Learning.
This is a two year position, with the first year spent at GSSI in
L'Aquila and the second year at SNS in Pisa, coordinated by the three
PIs: Michele Benzi (SNS), Nicola Guglielmi (GSSI), Francesco Tudisco
(GSSI).
We are looking for candidates who have a PhD in Mathematics, Physics,
Computer Science or related disciplines and who have research
experience in one or more of the following areas: numerical linear
algebra and matrix theory; (numerical methods for) dynamical systems;
numerical optimization and applications; matrix methods in systems
theory and data science; (mathematics of) machine learning and
compressed sensing; graph theory and network science.
Deadline for application: September 12, 2022
To apply and for more information, please see:
https://amministrazionetrasparente.sns.it/bando/numerical-stability-neural-
dynamical-systems
For inquiries, please do not hesitate to write to: numerics@gssi.it
Computer Vision and Machine Learning (CVML) email list www page: https://lists.auth.gr/sympa/info/cvml
👍1
A Fully-Funded Ph.D. Position in Machine Learning and Deep Learning at the University of Nebraska-Lincoln (USA)
A fully-funded Ph.D. position is available in the department of Electrical and Computer Engineering (ECE) at the University of Nebraska-Lincoln (UNL) in the areas of machine learning and deep learning.
The successful candidate will work on projects on computer vision and natural language processing (NLP).
Starting date: Spring 2023.
Closing application date: October 1, 2022.
Eligibility
The candidate should have programming skills in Python.
The candidate should be able to demonstrate proficiency in the use of oral and written English.
Previous experience with deep learning frameworks (PyTorch/TensorFlow) is not required but will be given priority.
How to Apply
If you are interested, then contact Dr. M. R. Hasan (hasan@unl.edu). For more information, visit my webpage.
For submitting an online application, visit the UNL ECE Graduate Admissions page.
A fully-funded Ph.D. position is available in the department of Electrical and Computer Engineering (ECE) at the University of Nebraska-Lincoln (UNL) in the areas of machine learning and deep learning.
The successful candidate will work on projects on computer vision and natural language processing (NLP).
Starting date: Spring 2023.
Closing application date: October 1, 2022.
Eligibility
The candidate should have programming skills in Python.
The candidate should be able to demonstrate proficiency in the use of oral and written English.
Previous experience with deep learning frameworks (PyTorch/TensorFlow) is not required but will be given priority.
How to Apply
If you are interested, then contact Dr. M. R. Hasan (hasan@unl.edu). For more information, visit my webpage.
For submitting an online application, visit the UNL ECE Graduate Admissions page.
Postdoc Position in Machine Learning methods applied to biological system at IBM Almaden Research Center (CA, USA)
The Cellular Engineering group at IBM Almaden Research Center is looking for an NSF fully funded postdoctoral research scientist. The position begins immediately. The candidate is expected to apply advanced AI/ML methods in cellular engineering and synthetic biology to understand biological systems and cellular dynamics.
The Cellular Engineering lab integrates multidisciplinary methods to understand the basic principles underlying cell functions in order to modify and build cells with designed activity. Our focus is to leverage AI/ML methods for harnessing the power of cells and develop powerful predictive models of cellular structure and function. The candidate is expected to integrate and develop novel AI/ML algorithms to understand the basic principles governing cells in order to modify them and build cells with designed activity. The ideal candidate should have strong background in computational biology and modeling, biophysics, AI/ML methods for biological system analysis and cellular dynamics. Relevant areas of expertise include direct application of machine learning methods to cellular systems.
The Cellular Engineering lab is part of the NSF Center for Cellular Construction in partnership with UC San Francisco, UC Berkeley, Stanford University, SF State University, and the SF Exploratorium. The overall goal of the Center is to develop an engineering discipline to design cells. For this purpose, we have access to several IBM supercomputers, which are among the fastest in the world. The candidate will work in close collaboration with world known scientists.
Interested candidates should contact Sara Capponi, PhD, (sara.capponi@ibm.com) with a cover letter, a CV, and contact information of 2-3 references. Students in their final year of Ph.D. training are encouraged to apply.
Required Skills: 1) PhD in Computational Biochemistry or Biology, Chemistry, Physics, Bioengineering, or related fields. 2) proven experience with mathematical modeling, statistical analysis, and AI/ML methods applied to biological data and systems. 3) Demonstrated experience with collaborators and experimentalists. 4) background in molecular dynamics simulations and computational modeling of proteins and biological systems.
Preferred Skills: 1) Experience in biology, physics, mathematics, chemistry, computer science, or related fields. 2) prior experience with python programming or other languages and data analysis. 3) good publication record. 4) Excellent English communication (written and oral). 5) Fully dedicated and self-motivated.
The Cellular Engineering group at IBM Almaden Research Center is looking for an NSF fully funded postdoctoral research scientist. The position begins immediately. The candidate is expected to apply advanced AI/ML methods in cellular engineering and synthetic biology to understand biological systems and cellular dynamics.
The Cellular Engineering lab integrates multidisciplinary methods to understand the basic principles underlying cell functions in order to modify and build cells with designed activity. Our focus is to leverage AI/ML methods for harnessing the power of cells and develop powerful predictive models of cellular structure and function. The candidate is expected to integrate and develop novel AI/ML algorithms to understand the basic principles governing cells in order to modify them and build cells with designed activity. The ideal candidate should have strong background in computational biology and modeling, biophysics, AI/ML methods for biological system analysis and cellular dynamics. Relevant areas of expertise include direct application of machine learning methods to cellular systems.
The Cellular Engineering lab is part of the NSF Center for Cellular Construction in partnership with UC San Francisco, UC Berkeley, Stanford University, SF State University, and the SF Exploratorium. The overall goal of the Center is to develop an engineering discipline to design cells. For this purpose, we have access to several IBM supercomputers, which are among the fastest in the world. The candidate will work in close collaboration with world known scientists.
Interested candidates should contact Sara Capponi, PhD, (sara.capponi@ibm.com) with a cover letter, a CV, and contact information of 2-3 references. Students in their final year of Ph.D. training are encouraged to apply.
Required Skills: 1) PhD in Computational Biochemistry or Biology, Chemistry, Physics, Bioengineering, or related fields. 2) proven experience with mathematical modeling, statistical analysis, and AI/ML methods applied to biological data and systems. 3) Demonstrated experience with collaborators and experimentalists. 4) background in molecular dynamics simulations and computational modeling of proteins and biological systems.
Preferred Skills: 1) Experience in biology, physics, mathematics, chemistry, computer science, or related fields. 2) prior experience with python programming or other languages and data analysis. 3) good publication record. 4) Excellent English communication (written and oral). 5) Fully dedicated and self-motivated.
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Fully funded Postdoc in Systems Neuroscience at University of Copenhagen
We are seeking a highly motivated postdoctoral fellow for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches. The research will take place at the Department of Neuroscience (https://in.ku.dk/) at University of Copenhagen in the lab of Dr. Peter C. Petersen (https://petersenlab.org/).
The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes, applying optogenetics for single cell tagging, and behavioral manipulations.
Application deadline: October 1, 2022.
Our research
Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents.
We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods.
Learn more about the position and the application process here: https://employment.ku.dk/faculty/?show=157309
Peter C. Petersen, PhD
Assistant Professor and Group Leader
Department of Neuroscience
University of Copenhagen
Blegdamsvej 3B, building 33.3.52.
2200 Copenhagen, Denmark
Website: PetersenLab.org
We are seeking a highly motivated postdoctoral fellow for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches. The research will take place at the Department of Neuroscience (https://in.ku.dk/) at University of Copenhagen in the lab of Dr. Peter C. Petersen (https://petersenlab.org/).
The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes, applying optogenetics for single cell tagging, and behavioral manipulations.
Application deadline: October 1, 2022.
Our research
Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents.
We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods.
Learn more about the position and the application process here: https://employment.ku.dk/faculty/?show=157309
Peter C. Petersen, PhD
Assistant Professor and Group Leader
Department of Neuroscience
University of Copenhagen
Blegdamsvej 3B, building 33.3.52.
2200 Copenhagen, Denmark
Website: PetersenLab.org
in.ku.dk
Department of Neuroscience
Department of Neuroscience is part of the Faculty of Health and Medical Sciences at the University of Copenhagen.
Research Technician position in the Lalor lab for Computational Cognitive Neurophysiology at the University of Rochester
Dear list,
Applications are invited for the following position
* Laboratory Research Technician – EEG Lab manager.
A lab technician position is available to support projects on how the human brain encodes complex and natural stimuli. The successful candidate will join a multidisciplinary team of biomedical and electrical engineers, neuroscientists and cognitive scientists. This person will perform complex and varied research laboratory assignments, including scheduling of human subjects for experiment participation, collecting both psychophysical and neurophysiological measures from those subjects, and assisting with maintaining paperwork regarding ethical protocols and subject data.
For more information, please contact Dr Edmund Lalor at edmund_lalor@urmc.rochester.edu.
To apply for either position, please submit a CV, short cover letter and contact information for two referees to Dr Edmund Lalor at elalor@ur.rochester.edu.
Best regards,
Ed
--
Edmund Lalor, PhD
Associate Professor,
Department of Biomedical Engineering and Department of Neuroscience,
University of Rochester,
Rochester, NY, USA.
Email: elalor@ur.rochester.edu
Web: http://lalorlab.urmc.edu
Phone: +1-585-275-3077
Twitter: www.twitter.com/edmundlalor
Dear list,
Applications are invited for the following position
* Laboratory Research Technician – EEG Lab manager.
A lab technician position is available to support projects on how the human brain encodes complex and natural stimuli. The successful candidate will join a multidisciplinary team of biomedical and electrical engineers, neuroscientists and cognitive scientists. This person will perform complex and varied research laboratory assignments, including scheduling of human subjects for experiment participation, collecting both psychophysical and neurophysiological measures from those subjects, and assisting with maintaining paperwork regarding ethical protocols and subject data.
For more information, please contact Dr Edmund Lalor at edmund_lalor@urmc.rochester.edu.
To apply for either position, please submit a CV, short cover letter and contact information for two referees to Dr Edmund Lalor at elalor@ur.rochester.edu.
Best regards,
Ed
--
Edmund Lalor, PhD
Associate Professor,
Department of Biomedical Engineering and Department of Neuroscience,
University of Rochester,
Rochester, NY, USA.
Email: elalor@ur.rochester.edu
Web: http://lalorlab.urmc.edu
Phone: +1-585-275-3077
Twitter: www.twitter.com/edmundlalor
Design for Test Methodology Researcher, imec, Belgium
PhD position in Finance (70%), University of Neuchâtel, Switzerland
PhD in Natural Product Chemistry / Comparative Metabolomics, University of Neuchâtel, Switzerland
Scientist (m/f/x) – Data science for climate impact research, Helmholtz-Centre for Environmental Research GmbH UFZ, Germany
PhD Fellowship in Intestinal Microbiology, University of Stavanger, Norway
PhD Student or Postdoctoral Research Associate (f/m/d), Aalen University, Germany
Research Scientist, Advanced Manufacturing Technologies, VTT, Finland
Doctoral fellow - Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
Postdoctoral Research Fellow (System-on-Chip design and implementation), 2 positions, Tampere University, Finland
Research Associate/Fellow in Stem Cell Biology (Fixed term), University of Nottingham, UnitedKingdom
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PhD position in Finance (70%), University of Neuchâtel, Switzerland
PhD in Natural Product Chemistry / Comparative Metabolomics, University of Neuchâtel, Switzerland
Scientist (m/f/x) – Data science for climate impact research, Helmholtz-Centre for Environmental Research GmbH UFZ, Germany
PhD Fellowship in Intestinal Microbiology, University of Stavanger, Norway
PhD Student or Postdoctoral Research Associate (f/m/d), Aalen University, Germany
Research Scientist, Advanced Manufacturing Technologies, VTT, Finland
Doctoral fellow - Department of Experimental Clinical and Health Psychology, Ghent University, Belgium
Postdoctoral Research Fellow (System-on-Chip design and implementation), 2 positions, Tampere University, Finland
Research Associate/Fellow in Stem Cell Biology (Fixed term), University of Nottingham, UnitedKingdom
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Teaching assistant (23986) - Small Animal, Ghent University, Belgium
Postdoctoral Position, TU Wien, Austria
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir
Postdoctoral Position, TU Wien, Austria
✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
🌐 https://applytime.ir