Postdoctoral Fellow Position at Carnegie Mellon University
Deep Reinforcement Learning Techniques for Human Robot Teaming Systems
OPEN POSITION: A postdoctoral fellow position at Robotics Institute,
CMU SUPERVISOR:
Prof. Katia Sycara (katia@cs.cmu.edu)
The Robotics Institute, Carnegie Mellon University
Website: http://ri.cmu.edu/ri-faculty/katia-sycara
LOCATION:
The Advanced Agent-Robotics Technology Lab
The Robotics Institute,
Carnegie Mellon University
Pittsburgh, Pennsylvania, USA
DESCRIPTION: The successful candidate will work on Deep Reinforcement Learning algorithms for human agent teams, with agents interacting autonomously or with humans. Position open immediately in 2022. Start in early 2023 is negotiable. The expected duration of the position is one to three years with renewals upon review. In particular, the research will involve computational models for making inferences and predictions about the behaviors and activities of other agents and human-agent teams so as to (1) perform complementary beneficial actions, and (2) give advice to human and agent team mates to improve overall team performance. The research involves a rich variety of research issues, such as theory of mind models, explainable AI, concept learning and transfer learning.
QUALIFICATIONS: - PhD in a field related to AI/ML in particular reinforcement learning in Robotics, CS or related discipline.
- A strong theoretical background in Machine Learning
- Programming skills including experiences using C++, Python, and/or MATLAB, Neural Network frameworks, eg pytorch
- Ability to present work clearly both written and orally
- Experiences with deep learning tools mandatory.
APPLICATION DETAILS: Applicants should provide the following material via email to Prof. Katia Sycara (katia@cs.cmu.edu). Please use the subject line: “Postdoc application”. Applications will be reviewed as they are received. - A curriculum vitae - A statement of research expertise and interests (up to 2 pages) - Up to 3 publications - Names and contact information of three references - Dates of availability - A personal website, if available, where further details can be found
DUTIES AND RESPONSIBILITIES
The postdoc will (a) carry out high quality research and publish the research results, (b) assist in research supervision and guidance of graduate and undergraduate students, (c) present research results to sponsors, (d) participate in research proposal preparation.
✔️ @ApplyTime
Deep Reinforcement Learning Techniques for Human Robot Teaming Systems
OPEN POSITION: A postdoctoral fellow position at Robotics Institute,
CMU SUPERVISOR:
Prof. Katia Sycara (katia@cs.cmu.edu)
The Robotics Institute, Carnegie Mellon University
Website: http://ri.cmu.edu/ri-faculty/katia-sycara
LOCATION:
The Advanced Agent-Robotics Technology Lab
The Robotics Institute,
Carnegie Mellon University
Pittsburgh, Pennsylvania, USA
DESCRIPTION: The successful candidate will work on Deep Reinforcement Learning algorithms for human agent teams, with agents interacting autonomously or with humans. Position open immediately in 2022. Start in early 2023 is negotiable. The expected duration of the position is one to three years with renewals upon review. In particular, the research will involve computational models for making inferences and predictions about the behaviors and activities of other agents and human-agent teams so as to (1) perform complementary beneficial actions, and (2) give advice to human and agent team mates to improve overall team performance. The research involves a rich variety of research issues, such as theory of mind models, explainable AI, concept learning and transfer learning.
QUALIFICATIONS: - PhD in a field related to AI/ML in particular reinforcement learning in Robotics, CS or related discipline.
- A strong theoretical background in Machine Learning
- Programming skills including experiences using C++, Python, and/or MATLAB, Neural Network frameworks, eg pytorch
- Ability to present work clearly both written and orally
- Experiences with deep learning tools mandatory.
APPLICATION DETAILS: Applicants should provide the following material via email to Prof. Katia Sycara (katia@cs.cmu.edu). Please use the subject line: “Postdoc application”. Applications will be reviewed as they are received. - A curriculum vitae - A statement of research expertise and interests (up to 2 pages) - Up to 3 publications - Names and contact information of three references - Dates of availability - A personal website, if available, where further details can be found
DUTIES AND RESPONSIBILITIES
The postdoc will (a) carry out high quality research and publish the research results, (b) assist in research supervision and guidance of graduate and undergraduate students, (c) present research results to sponsors, (d) participate in research proposal preparation.
✔️ @ApplyTime
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شاید در طول روز به پوزیشنهای زیادی برخورد میکنین که مناسب خود شما نیست اما احتمالا مناسب دانشجویان دیگه هست. گروه زیر جائیه که شما میتونین این دسته از پوزیشنها رو به اشتراک بذارین و به باقی دانشجویان کمک کنین. طبیعتا اگه دیگران هم این کار رو انجام بدن، کمک بزرگی برای شما خواهد بود. پس با به اشتراکگذاری پوزیشنهایی که بهشون نیازی نداریم، به دیگران و خودمون کمک کنیم.
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لینک عضویت در گروه:
https://news.1rj.ru/str/time_to_share_open_positions
✔️ @ApplyTime
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Postdoc in Analog and Mixed-Signal IC design, Technische Universiteit Delft (TU Delft), Netherlands
Scientific Project Manager: BlueAdapt – Coastal Pathogens and Climate Change, BC3 Basque Centre for Climate Change, Spain
Postdoctoral research position: Coastal Pathogens and Climate Change – An Extended One Health Approach, BC3 Basque Centre for Climate Change, Spain
PhD Position – Interface Catalysis by Design for Scalable Electrosynthesis of Value-Added Organic Compounds, Forschungszentrum Jülich GmbH, Germany
Postdoc position in Analog/Mixed-Signal IC Design, Technische Universiteit Delft (TU Delft), Netherlands
PhD position in Analog/Mixed-Signal IC Design, Technische Universiteit Delft (TU Delft), Netherlands
Project Researcher (PhD. Student), Electrical Engineering (Smart Grids), University of Vaasa, Finland
International PhD Programs in the Life Sciences, Life Science Zurich Graduate School, Switzerland
Assistant (24115) - Interdisciplinary Study of Law, Private Law and Business 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
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Assistant (24127) - Criminology, Criminal Law and Social Law, Ghent University, Belgium
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One or More Postdocs in Optimization and Algorithm Design (2022-224-04779), Aalborg University (AAU), Denmark
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PhD researcher ERC Curiae Virides in quantitative analyses of ecological litigation and GVCs, Vrije Universiteit Brussel (VUB), Belgium
Postdoc Researcher ERC CURIAE VIRIDES in quantitative analyses of ecological litigation and GVCs, Vrije Universiteit Brussel (VUB), Belgium
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Attached are two Calls for Applications for my new team at Münster University’s Geography Department. — Please feel free to share widely, I’m very keen on receiving international applications!
https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20220107_sk13.html
https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20220107_sk12.html
Many thanks and best wishes,
Sarah
UNIVERSITY OF LEIPZIG
Dr Sarah Ruth Sippel
Institute of Cultural Anthropology
Schillerstr. 6
04109 Leipzig, Germany
+49 (0) 34 1973 7223
✔️@ApplyTime
https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20220107_sk13.html
https://www.uni-muenster.de/Rektorat/Stellen/ausschreibungen/st_20220107_sk12.html
Many thanks and best wishes,
Sarah
UNIVERSITY OF LEIPZIG
Dr Sarah Ruth Sippel
Institute of Cultural Anthropology
Schillerstr. 6
04109 Leipzig, Germany
+49 (0) 34 1973 7223
✔️@ApplyTime
www.uni-muenster.de
Wissenschaftliche Mitarbeiter
Stellenausschreibungen der Universität Münster
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✅ 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
2022-05159 - Post-Doctoral Research Visit F/M Federated Learning in Healthcare (FLH): Analysis of Multicentric Hospital Data, Inria, France
2022-05068 - Post-Doctoral Research Visit F/M Post doctoral fellow in computer vision / deep learning: deepfake detection, Inria, France
2022-05117 - Post-Doctoral Research Visit F/M Reinforcement Learning with Applications to Active Learning and Recommender Systems, Inria, France
2022-05156 - Post-Doctoral Research Visit F/M Fair and Optimal Design of (Repeated) MarketPlace, Inria, France
2022-05170 - Inria and InterDigital - Haptic “super-powers” for improving the exploration of metaverse, Inria, France
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2022-04801 - Post-Doctoral Research Visit F/M Modeling of photoplethysmography measurement and estimation of blood pressure, Inria, France
2022-04862 - Post-Doctoral Research Visit F/M Postdoc Position F/M [2 years: 3D Transformers for Autonomous Driving, Inria, France](https://news.1rj.ru/str/ApplyTimePositions/16983)
[2022-05105 - Post-Doctoral Research Visit F/M Emissions mapping & analysis of a geo-distributed computing infrastructure in comparison to centralised architectures, Inria, France](https://news.1rj.ru/str/ApplyTimePositions/16984)
✅ 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
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✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
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✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
✔️ @ApplyTime
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A fully-funded 3.5 year PhD project is available in the Mark Humphries’ lab at the University of Nottingham, UK.
Broad classes of network models, like small-world networks and scale-free networks, have taught us much about the world. But we suspect a major class of networks has been missed. This project will introduce and explore a new class of model weighted networks, “divergent” networks, in which the structure described by the links and their weights do not match. Most theoretical work on weighted networks assumes that they do, so little is known about the properties of these divergent networks. We will close that gap by quantifying the existence and extent of divergence in a range of real-world networks, including brain connectomes at both single neuron and inter-area level; by creating generative models for these networks; and by exploring how divergence alters a network’s dynamics across a range of dynamical systems implemented on the nodes, including neural models.
The student will be joining the Humphries lab (https://www.humphries-lab.org/), who draw on network theory and dynamical systems approaches to understand neural coding and computations. They will also be co-supervised by Prof Stephen Coombes (School of Maths), an expert in dynamics on networks.
Suggested reading:
Humphries, M. D., Caballero, J. A.*, Evans, M.*, Maggi, S.* & Singh, A.* (2021) Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models. PLoS ONE, 16(7): e0254057.
Enquiries: mark.humphries@nottingham.ac.uk (send a CV with queries please)
Application deadline: July 29th 2022
Further details, and how to apply: https://www.findaphd.com/phds/project/divergent-networks-a-new-class-of-complex-systems/?p145584
Funding information:
EPSRC DTP studentship, 3.5 years duration.
Start: October 2022
Studentship will pay Home (UK) University tuition fees (minimum £4,596 per year) and a minimum stipend of £16,062 per year for your living costs. International students are welcome to apply, but note the studentship does not cover international tuition fees (currently £26,000 per year).
Professor Mark Humphries | Professor of Computational Neuroscience
My book "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" is out now in hardback, ebook, and audiobook! https://press.princeton.edu/books/hardcover/9780691195889/the-spike
Lab: humphries-lab.org
Twitter: @markdhumphries
Public blog: https://medium.com/the-spike
✔️ @ApplyTime
Broad classes of network models, like small-world networks and scale-free networks, have taught us much about the world. But we suspect a major class of networks has been missed. This project will introduce and explore a new class of model weighted networks, “divergent” networks, in which the structure described by the links and their weights do not match. Most theoretical work on weighted networks assumes that they do, so little is known about the properties of these divergent networks. We will close that gap by quantifying the existence and extent of divergence in a range of real-world networks, including brain connectomes at both single neuron and inter-area level; by creating generative models for these networks; and by exploring how divergence alters a network’s dynamics across a range of dynamical systems implemented on the nodes, including neural models.
The student will be joining the Humphries lab (https://www.humphries-lab.org/), who draw on network theory and dynamical systems approaches to understand neural coding and computations. They will also be co-supervised by Prof Stephen Coombes (School of Maths), an expert in dynamics on networks.
Suggested reading:
Humphries, M. D., Caballero, J. A.*, Evans, M.*, Maggi, S.* & Singh, A.* (2021) Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models. PLoS ONE, 16(7): e0254057.
Enquiries: mark.humphries@nottingham.ac.uk (send a CV with queries please)
Application deadline: July 29th 2022
Further details, and how to apply: https://www.findaphd.com/phds/project/divergent-networks-a-new-class-of-complex-systems/?p145584
Funding information:
EPSRC DTP studentship, 3.5 years duration.
Start: October 2022
Studentship will pay Home (UK) University tuition fees (minimum £4,596 per year) and a minimum stipend of £16,062 per year for your living costs. International students are welcome to apply, but note the studentship does not cover international tuition fees (currently £26,000 per year).
Professor Mark Humphries | Professor of Computational Neuroscience
My book "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" is out now in hardback, ebook, and audiobook! https://press.princeton.edu/books/hardcover/9780691195889/the-spike
Lab: humphries-lab.org
Twitter: @markdhumphries
Public blog: https://medium.com/the-spike
✔️ @ApplyTime
humphries-lab.org
Humphries Lab
Neural data science. The Humphries Lab at the University of Nottingham, UK, a neural data science lab
PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), jointly with the University of Ferrara, are opening up to 8 PhD positions starting in November 1st, 2022.
Research areas:
- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces
- Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo
- Hardware and software development for innovative exploration of brain signals
- Machine learning applications to multimodal brain and speech signals
- Investigation of sensorimotor functions in animal models
- Cortical recordings in human patients during awake Neurosurgery
- Human non-invasive neurophysiology of speech and sensorimotor communication by means of TMS, EEG, EMG and MoCap
Who: physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team.
Where: The CTNSC (https://www.iit.it/it/ctnsc-unife) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733).
General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience
Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection
Application website: https://pica.cineca.it/unife/dottorati-38-ntn/
DEADLINE: July 25rd, 2022
✔️ @ApplyTime
The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), jointly with the University of Ferrara, are opening up to 8 PhD positions starting in November 1st, 2022.
Research areas:
- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces
- Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo
- Hardware and software development for innovative exploration of brain signals
- Machine learning applications to multimodal brain and speech signals
- Investigation of sensorimotor functions in animal models
- Cortical recordings in human patients during awake Neurosurgery
- Human non-invasive neurophysiology of speech and sensorimotor communication by means of TMS, EEG, EMG and MoCap
Who: physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team.
Where: The CTNSC (https://www.iit.it/it/ctnsc-unife) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733).
General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience
Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection
Application website: https://pica.cineca.it/unife/dottorati-38-ntn/
DEADLINE: July 25rd, 2022
✔️ @ApplyTime
UNESCO World Heritage Centre
Ferrara, City of the Renaissance, and its Po Delta
Ferrara, which grew up around a ford over the River Po, became an intellectual and artistic centre that attracted the greatest minds of the Italian Renaissance in the 15th and 16th centuries. Here, Piero della ...
Miguel Maravall <mmaravall@gmail.com>
10:09 PM (33 minutes ago)
to systems-neuroscience Unsubscribe
A Ph.D. studentship (3.5 years) is available for entry in September 2022 or January 2023 under the supervision of Prof Miguel Maravall in the Neuroscience subject group, School of Life Sciences.
Recent evidence from multiple labs shows that, in naturalistic behaviours, neuronal activity reflecting sensory signals, decisions and actions interacts intricately in the sensory cortex, including the primary somatosensory cortex. The aim of this project is to understand how task responses in the somatosensory cortex vary with the task being performed, how they differ across cell types, and how they contribute to an animal’s behaviour. To this end the PhD candidate will develop behavioural tasks for mice, and record and manipulate activity in targeted groups of neurons while measuring task performance.
Our lab is developing novel tasks in which mice accumulate and use sensory evidence to decide between actions, e.g. during exploration of a maze. Mice are trained to recognise associations between sequences of stimuli and potential rewards. The student will track behaviour using deep-learning tools while monitoring activity in targeted neuronal subsets using two-photon microscopy (in head-fixed task versions) or electrophysiology (in freely moving mice). This approach will enable them to answer long-standing questions about how the brain flexibly converts sensory information into decisions.
Our lab provides an inclusive and supportive environment. Students interact with other members of the close-knit local sensory neuroscience community and further opportunities for interaction and training are provided by the Sussex Neuroscience research programme, https://www.sussex.ac.uk/sussexneuroscience. Students in our lab have gone on to a diversity of careers inside and outside academia.
This university-funded position covers Home tuition fees and a stipend at standard UKRI rates. Applicants with overseas fee status will need to fund the difference between Home and International tuition fees. Ideal candidates will have recently received an MSc and/or a First or high 2:1 BSc in a relevant field, i.e. Neuroscience or a related, preferably quantitative, subject. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section.
Deadline is 8th July at 23:45 UK time. Please contact Miguel Maravall (m.maravall@sussex.ac.uk) or view the following web page for more information: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1455-Life-Sciences-PhD-Neuroscience:-Task-responses-in-the-mouse-somatosensory-cortex-during-flexible-behaviour . ✔️ @ApplyTime
10:09 PM (33 minutes ago)
to systems-neuroscience Unsubscribe
A Ph.D. studentship (3.5 years) is available for entry in September 2022 or January 2023 under the supervision of Prof Miguel Maravall in the Neuroscience subject group, School of Life Sciences.
Recent evidence from multiple labs shows that, in naturalistic behaviours, neuronal activity reflecting sensory signals, decisions and actions interacts intricately in the sensory cortex, including the primary somatosensory cortex. The aim of this project is to understand how task responses in the somatosensory cortex vary with the task being performed, how they differ across cell types, and how they contribute to an animal’s behaviour. To this end the PhD candidate will develop behavioural tasks for mice, and record and manipulate activity in targeted groups of neurons while measuring task performance.
Our lab is developing novel tasks in which mice accumulate and use sensory evidence to decide between actions, e.g. during exploration of a maze. Mice are trained to recognise associations between sequences of stimuli and potential rewards. The student will track behaviour using deep-learning tools while monitoring activity in targeted neuronal subsets using two-photon microscopy (in head-fixed task versions) or electrophysiology (in freely moving mice). This approach will enable them to answer long-standing questions about how the brain flexibly converts sensory information into decisions.
Our lab provides an inclusive and supportive environment. Students interact with other members of the close-knit local sensory neuroscience community and further opportunities for interaction and training are provided by the Sussex Neuroscience research programme, https://www.sussex.ac.uk/sussexneuroscience. Students in our lab have gone on to a diversity of careers inside and outside academia.
This university-funded position covers Home tuition fees and a stipend at standard UKRI rates. Applicants with overseas fee status will need to fund the difference between Home and International tuition fees. Ideal candidates will have recently received an MSc and/or a First or high 2:1 BSc in a relevant field, i.e. Neuroscience or a related, preferably quantitative, subject. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall, with not less than 6.0 in any section.
Deadline is 8th July at 23:45 UK time. Please contact Miguel Maravall (m.maravall@sussex.ac.uk) or view the following web page for more information: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1455-Life-Sciences-PhD-Neuroscience:-Task-responses-in-the-mouse-somatosensory-cortex-during-flexible-behaviour . ✔️ @ApplyTime
www.sussex.ac.uk
Sussex Neuroscience : University of Sussex
The Centre is the UK’s first academic centre dedicated to interdisciplinary research, policy impact and teaching on corruption and anti-corruption.
Postdoctoral Fellow – Electrophysiology/fMRI Data Analysis in International Center for Primate Brain Research, Shanghai, ChinaThe 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
✔️ @ApplyTime
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
✔️ @ApplyTime
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
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✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!
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✅ 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