Two postdoctoral fellowships in Statistics (FGV EMAp) Rio de Janeiro, Brazil
Postdoctoral fellowship in Statistics
The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for two postdoctoral fellowships in Statistics beginning no later than December 31st, 2021.
We are looking for early-career researchers to develop innovative research in Statistics and Data Science. Individuals with applied and methodological interests in statistics for large complex data or financial/actuarial statistics. Candidates whose research interests intersect with the research agenda of other members of the department will be given priority.
The successful candidate is expected to develop collaborative research within the department, supporting our ongoing expansion in the area. It is also expected the post holder will collaborate with the members of the group on the application process for external funding. Light teaching duty may be required. Remote applicants will be considered.
Qualifications
The successful candidate is expected to hold a Ph.D. in statistics, or related discipline, by the time of the appointment. We expect the applicant to have an expanding track of publications and a strong potential of publishing in top ranked Statistics journals. The successful candidate will also possess excellent communication and presentation skills.
About us
Getulio Vargas Foundation (FGV) is a distinguished and internationally renowned Brazilian higher-learning institution dedicated to the intellectual development of the nation. The School of Applied Mathematics (EMAp) located in Rio de Janeiro, has as its main goals to contribute with the effort of FGV towards innovation through the use of Mathematics in its numerous areas of application, especially the Applied Social Sciences.
We are a growing department that aspires to be top ranked in Latin America and world-wide. The School of Applied Mathematics currently offers Ph.D., M.Sc., and undergraduate degrees in applied mathematics and Data Science. We also have an ongoing Postdoctoral Fellowship program. In 2020 a research center for Data Sciences was created, boosting investigation in the area.
Application
Academics with appropriate qualifications are kindly invited to send their applications electronically to postdoc.emap@fgv.br, including:
Cover letter which describes your experience, interests and suitability for the position;
Curriculum vitae; and
A list of academic articles showcasing the applicant’s research.
The applicant should also provide at least two reference letters, addressing your research qualifications and accomplishments, to be sent directly to the hiring committee.
Applications (including reference letters) received by August 29, 2021 (extended to September 30, 2021) will receive full consideration.
Informal inquiries can be addressed to Profs. Eduardo Mendes (eduardo.mendes@fgv.br), Rodrigo Targino (rodrigo.targino@fgv.br) and Luiz Max Carvalho (luiz.fagundes@fgv.br).
Salary and Benefits
This position is a 24 months fixed term contract with possibility of extending it for another 12 months. We offer an internationally competitive salary compatible with previous experience and accomplishments.
Further considerations
FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
✔️ @ApplyTime
Postdoctoral fellowship in Statistics
The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for two postdoctoral fellowships in Statistics beginning no later than December 31st, 2021.
We are looking for early-career researchers to develop innovative research in Statistics and Data Science. Individuals with applied and methodological interests in statistics for large complex data or financial/actuarial statistics. Candidates whose research interests intersect with the research agenda of other members of the department will be given priority.
The successful candidate is expected to develop collaborative research within the department, supporting our ongoing expansion in the area. It is also expected the post holder will collaborate with the members of the group on the application process for external funding. Light teaching duty may be required. Remote applicants will be considered.
Qualifications
The successful candidate is expected to hold a Ph.D. in statistics, or related discipline, by the time of the appointment. We expect the applicant to have an expanding track of publications and a strong potential of publishing in top ranked Statistics journals. The successful candidate will also possess excellent communication and presentation skills.
About us
Getulio Vargas Foundation (FGV) is a distinguished and internationally renowned Brazilian higher-learning institution dedicated to the intellectual development of the nation. The School of Applied Mathematics (EMAp) located in Rio de Janeiro, has as its main goals to contribute with the effort of FGV towards innovation through the use of Mathematics in its numerous areas of application, especially the Applied Social Sciences.
We are a growing department that aspires to be top ranked in Latin America and world-wide. The School of Applied Mathematics currently offers Ph.D., M.Sc., and undergraduate degrees in applied mathematics and Data Science. We also have an ongoing Postdoctoral Fellowship program. In 2020 a research center for Data Sciences was created, boosting investigation in the area.
Application
Academics with appropriate qualifications are kindly invited to send their applications electronically to postdoc.emap@fgv.br, including:
Cover letter which describes your experience, interests and suitability for the position;
Curriculum vitae; and
A list of academic articles showcasing the applicant’s research.
The applicant should also provide at least two reference letters, addressing your research qualifications and accomplishments, to be sent directly to the hiring committee.
Applications (including reference letters) received by August 29, 2021 (extended to September 30, 2021) will receive full consideration.
Informal inquiries can be addressed to Profs. Eduardo Mendes (eduardo.mendes@fgv.br), Rodrigo Targino (rodrigo.targino@fgv.br) and Luiz Max Carvalho (luiz.fagundes@fgv.br).
Salary and Benefits
This position is a 24 months fixed term contract with possibility of extending it for another 12 months. We offer an internationally competitive salary compatible with previous experience and accomplishments.
Further considerations
FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.
✔️ @ApplyTime
Forwarded from Deep Gravity
PhD position at the university of Neuchatel
We are looking for a PhD student to join our group on reinforcement learning and decision making at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis will be an additional bonus. Although any area in the intersection of machine learning, statistics and artificial intelligence may be considered, we are primarily looking for a student with a sincere interest in one or more of the following areas:
1. Reinforcement learning
2. Privacy (e.g. differential privacy)
3. Fairness in machine learning.
Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The position is available from 1 Februrary 2022.
For further information, please contact me directly at christos.dimitrakakis@gmail.com with the subject 'PhD Neuchatel'.
🔭 @DeepGravity
We are looking for a PhD student to join our group on reinforcement learning and decision making at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis will be an additional bonus. Although any area in the intersection of machine learning, statistics and artificial intelligence may be considered, we are primarily looking for a student with a sincere interest in one or more of the following areas:
1. Reinforcement learning
2. Privacy (e.g. differential privacy)
3. Fairness in machine learning.
Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The position is available from 1 Februrary 2022.
For further information, please contact me directly at christos.dimitrakakis@gmail.com with the subject 'PhD Neuchatel'.
🔭 @DeepGravity
Université de Neuchâtel
Venez étudier à l'Université de Neuchâtel. Découvrez nos quatre facultés et nos nombreuses formations en bachelor et en master.
Deadline August 31: 5 PhD scholarships at the Center for Basic Machine Learning Research in Life Science (MLLS), University of Copenhagen and the Technical University of Denmark
Are you our new colleague?
The Center for Basic Machine Learning Research in Life Science (MLLS) gathers machine learning researchers from the Departments of Biology and Computer Science, University of Copenhagen (UCPH) and DTU Compute, the Technical University of Denmark (DTU).
We offer a workplace that aims to conduct world class research in machine learning methodology that simultaneously addresses important problems for applications in life science and has a wider relevance for machine learning.
5 PhD scholarships are open with starting date November 1st 2021 or as soon as possible thereafter. For information on how to apply, as well as on the individual projects, please see:
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18965&ProjectId=154385&MediaId=5&SkipAdvertisement=false
Copenhagen is a great place to live and work, combining the fun of an international city with a life- and family-friendly work culture.
We look forward to hearing from you!
Aasa Feragen
Wouter Boomsma
Søren Hauberg
Jes Frellsen
Anders Krogh
Ole Winther
✔️ @ApplyTime
Are you our new colleague?
The Center for Basic Machine Learning Research in Life Science (MLLS) gathers machine learning researchers from the Departments of Biology and Computer Science, University of Copenhagen (UCPH) and DTU Compute, the Technical University of Denmark (DTU).
We offer a workplace that aims to conduct world class research in machine learning methodology that simultaneously addresses important problems for applications in life science and has a wider relevance for machine learning.
5 PhD scholarships are open with starting date November 1st 2021 or as soon as possible thereafter. For information on how to apply, as well as on the individual projects, please see:
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18965&ProjectId=154385&MediaId=5&SkipAdvertisement=false
Copenhagen is a great place to live and work, combining the fun of an international city with a life- and family-friendly work culture.
We look forward to hearing from you!
Aasa Feragen
Wouter Boomsma
Søren Hauberg
Jes Frellsen
Anders Krogh
Ole Winther
✔️ @ApplyTime
HR Manager Talent Solutions
5 PhD scholarships at the Center for Basic Machine Learning Research in Life Science (MLLS), University of Copenhagen and the Technical…
Research Assistant Position in Functional Neuroimaging
The Center for Functional and Molecular Imaging (CFMI) located at Georgetown University, is looking to hire two full-time research assistants with a strong interest in cognitive neuroscience and brain imaging.
CFMI is a fully equipped research imaging center with a 3T Siemens MRI system, a near-infrared spectroscopy optical imaging systems, a high-density EEG (256 channels), fMRI-compatible EEG, and a transcranial magnetic stimulator. Our investigators are conducting a number of studies examining the neural mechanisms of language, perception, developmental disorders, decision making and reward processing, substance abuse, and brain plasticity.
This position will involve being trained to run our MRI scanner, working on data analyses, and interacting with a wide variety of participant populations including children with autism and other neuropsychiatric disorders as well as individuals with strokes and mild cognitive impairment. Some specific requirements include:
Bachelor's degree required upon start date
Requires some experience collecting data with human subjects/working in a research environment
Experience with MRI/fMRI preferred but not necessary - Programming and/or noscripting experience preferred
Working in a team environment
Major research projects that will be undertaken in the lab include working on cloud computing solutions for neuroimaging data analyses collected as part of a longitudinal substance use initiation study in adolescents as well as piloting new fMRI tasks.
This is a great position for those wanting research experience before applying for graduate school. If interested please send resume to: John VanMeter; jwv5@georgetown.edu
✔️ @ApplyTime
The Center for Functional and Molecular Imaging (CFMI) located at Georgetown University, is looking to hire two full-time research assistants with a strong interest in cognitive neuroscience and brain imaging.
CFMI is a fully equipped research imaging center with a 3T Siemens MRI system, a near-infrared spectroscopy optical imaging systems, a high-density EEG (256 channels), fMRI-compatible EEG, and a transcranial magnetic stimulator. Our investigators are conducting a number of studies examining the neural mechanisms of language, perception, developmental disorders, decision making and reward processing, substance abuse, and brain plasticity.
This position will involve being trained to run our MRI scanner, working on data analyses, and interacting with a wide variety of participant populations including children with autism and other neuropsychiatric disorders as well as individuals with strokes and mild cognitive impairment. Some specific requirements include:
Bachelor's degree required upon start date
Requires some experience collecting data with human subjects/working in a research environment
Experience with MRI/fMRI preferred but not necessary - Programming and/or noscripting experience preferred
Working in a team environment
Major research projects that will be undertaken in the lab include working on cloud computing solutions for neuroimaging data analyses collected as part of a longitudinal substance use initiation study in adolescents as well as piloting new fMRI tasks.
This is a great position for those wanting research experience before applying for graduate school. If interested please send resume to: John VanMeter; jwv5@georgetown.edu
✔️ @ApplyTime
Job Announcement
Assistant Professor
Department of Psychological Sciences
University of Connecticut
The Department of Psychological Sciences at the University of Connecticut invites applications for an Assistant Professor, tenure track, in Developmental Psychology, with an anticipated start date of August 23, 2022. We seek a candidate with specialization in social developmental neuroscience using MRI methods. The successful candidate will utilize and be affiliated with the UCONN Brain Imaging Research Center (https://birc.uconn.edu). Targeted research areas are diversity (e.g., intergroup relations, social justice, disparity/inequity, racial/ethnic identity development) and/or social relationships with parents or peers in childhood or adolescence. Salary will be commensurate with qualifications and experience. The department is committed to diversity, equity, and inclusion, and especially invites applications from members of minoritized, marginalized, and underrepresented groups.
For more details about the position and to apply, please see the complete ad at https://academicjobsonline.org/ajo/jobs/19114 or visit https://hr.uconn.edu/jobs/
UConn is an AA/EEO employer.
✔️ @ApplyTime
Assistant Professor
Department of Psychological Sciences
University of Connecticut
The Department of Psychological Sciences at the University of Connecticut invites applications for an Assistant Professor, tenure track, in Developmental Psychology, with an anticipated start date of August 23, 2022. We seek a candidate with specialization in social developmental neuroscience using MRI methods. The successful candidate will utilize and be affiliated with the UCONN Brain Imaging Research Center (https://birc.uconn.edu). Targeted research areas are diversity (e.g., intergroup relations, social justice, disparity/inequity, racial/ethnic identity development) and/or social relationships with parents or peers in childhood or adolescence. Salary will be commensurate with qualifications and experience. The department is committed to diversity, equity, and inclusion, and especially invites applications from members of minoritized, marginalized, and underrepresented groups.
For more details about the position and to apply, please see the complete ad at https://academicjobsonline.org/ajo/jobs/19114 or visit https://hr.uconn.edu/jobs/
UConn is an AA/EEO employer.
✔️ @ApplyTime
birc.uconn.edu
Home | Brain Imaging Research Center
USER PORTAL Start off-campus AnyConnect VPN The Brain Imaging Research Center (BIRC) opened in June 2015. The center houses a 3T Siemens Prisma MRI scanner ...
Post-doc in Conversational Recommendation at U. of Toronto
I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.
The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.
Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.
Deadline: the candidate should be able to start on or before Dec 1, 2021.
If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.
Dr. Scott P. Sanner
Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/
✔️ @ApplyTime
I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.
The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.
Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.
Deadline: the candidate should be able to start on or before Dec 1, 2021.
If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.
Dr. Scott P. Sanner
Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/
✔️ @ApplyTime
Research position at the Vrije Universiteit Brussel (VUB)
One Scientific Research position in Affective Neuroscience (PhD: 4 years/Postdoc/Scientific researcher: 3 years) is available at the Vrije Universiteit Brussel (VUB), Department of Clinical studies and Neuroimaging, VUB, Brussels, Belgium in collaboration with the Psychophysiology Lab headed by Prof. James Gross of the University of Stanford, US. Content: The candidate works on the experimental investigation of bottom-up experiential emotion regulation as a central working mechanism within experiential psychotherapy, complementary to top-down cognitive reappraisal as a central working mechanism in cognitive-behavioral psychotherapy. The candidate will assess the respective behavioral and neurophysiological effects.
Profile: We are looking for a highly motivated applicant. The candidate has a master's degree in psychology, biomedical, medical sciences, or affective- and cognitive neuroscience, or related areas. He or she has affinity with experimental research. English communication and writing skills are required. Methodological interest and autonomy are vital skills for this position.
Interested? Interested candidates can apply by e-mail. Please provide a motivation letter and full Curriculum Vitae, including the names and contact information of at least two references. The deadline for application is the end of August 2021. For additional information, you can contact Marie Vandekerckhove: Marie.Vandekerckhove@vub.be.
✔️ @ApplyTime
One Scientific Research position in Affective Neuroscience (PhD: 4 years/Postdoc/Scientific researcher: 3 years) is available at the Vrije Universiteit Brussel (VUB), Department of Clinical studies and Neuroimaging, VUB, Brussels, Belgium in collaboration with the Psychophysiology Lab headed by Prof. James Gross of the University of Stanford, US. Content: The candidate works on the experimental investigation of bottom-up experiential emotion regulation as a central working mechanism within experiential psychotherapy, complementary to top-down cognitive reappraisal as a central working mechanism in cognitive-behavioral psychotherapy. The candidate will assess the respective behavioral and neurophysiological effects.
Profile: We are looking for a highly motivated applicant. The candidate has a master's degree in psychology, biomedical, medical sciences, or affective- and cognitive neuroscience, or related areas. He or she has affinity with experimental research. English communication and writing skills are required. Methodological interest and autonomy are vital skills for this position.
Interested? Interested candidates can apply by e-mail. Please provide a motivation letter and full Curriculum Vitae, including the names and contact information of at least two references. The deadline for application is the end of August 2021. For additional information, you can contact Marie Vandekerckhove: Marie.Vandekerckhove@vub.be.
✔️ @ApplyTime
Multiple RF Positions at National University of Singapore for Cisco-NUS Accelerated Digital Economy Corporate Laboratory
https://ids.nus.edu.sg/ciscojobs.html
Overview
We are looking for multiple Research Fellows to participate in a new project ennoscriptd “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.
Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.
Research Fellow:
Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.
Responsibilities:
Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on information extraction and knowledge discovery from conversational data;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external partners and collaborators;
Requirements:
A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
Excellent interpersonal communication and oral presentation skills in English.
For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.
✔️ @ApplyTime
https://ids.nus.edu.sg/ciscojobs.html
Overview
We are looking for multiple Research Fellows to participate in a new project ennoscriptd “AI for Customer Service Automation” at the Institute of Data Science, National University of Singapore. The project is part of the “Cisco-NUS Accelerated Digital Economy Corporate Laboratory”. The project will focus on developing Artificial Intelligence and Machine Learning algorithms to harvest real-world end-to-end customer service operational data for enhancing customer experience and technical support.
Interested individual please send your cover letter and resume to email ids@nus.edu.sg. Please note that only shortlisted candidates will be notified.
Research Fellow:
Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.
Responsibilities:
Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on information extraction and knowledge discovery from conversational data;
Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
Develop ideas for application of research outcomes;
Contribute to knowledge exchange activities with external partners and collaborators;
Requirements:
A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
Proven ability to conduct independent research with a strong and relevant publication record;
Prior experience in knowledge graphs, information extraction, and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
Excellent interpersonal communication and oral presentation skills in English.
For any enquiries, please contact Mr Paul Lim at ids@nus.edu.sg.
✔️ @ApplyTime
Postdoc position in ML/computational neuroscience/genomics at UCSF
The Abbasi Lab at the University of California, San Francisco (UCSF) in collaboration with Bin Yu at UC Berkeley and Hongkui Zeng and Bosiljka Tasic at the Allen Institute invites applications for a fully-funded postdoctoral position at the intersection of machine learning and gene expression analysis funded by the Weill Neurohub’s Next Great Idea Award. This is an opportunity to work on a high-impact interdisciplinary problem. The project aims to provide a computational framework to reveal building blocks of spatial gene expression profiles in the mouse brain. These building blocks or principal patterns will parcellate the brain into completely data-driven 3D brain areas and establish brain-area-specific local gene networks. Additionally, the project aims to leverage these analyses to better understand the patterns in the human gene expression datasets. The project involves designing and validating interpretable machine learning frameworks and statistical tools.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, computational biology, engineering, computational neuroscience, or related fields) and experience in programming and data analysis. Previous background in computational biology and neuroscience could be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support. As a part of the Weill Institute for Neuroscience, our laboratory is located on the Mission Bay campus providing access to the UCSF Neuroscience and Bioengineering communities including the Neuroscape, Kavli Institute for Fundamental Neuroscience and Baker Computational Health Science Institute.
Additional information is available at: https://abbasilab.org
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
✔️ @ApplyTime
The Abbasi Lab at the University of California, San Francisco (UCSF) in collaboration with Bin Yu at UC Berkeley and Hongkui Zeng and Bosiljka Tasic at the Allen Institute invites applications for a fully-funded postdoctoral position at the intersection of machine learning and gene expression analysis funded by the Weill Neurohub’s Next Great Idea Award. This is an opportunity to work on a high-impact interdisciplinary problem. The project aims to provide a computational framework to reveal building blocks of spatial gene expression profiles in the mouse brain. These building blocks or principal patterns will parcellate the brain into completely data-driven 3D brain areas and establish brain-area-specific local gene networks. Additionally, the project aims to leverage these analyses to better understand the patterns in the human gene expression datasets. The project involves designing and validating interpretable machine learning frameworks and statistical tools.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, computational biology, engineering, computational neuroscience, or related fields) and experience in programming and data analysis. Previous background in computational biology and neuroscience could be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support. As a part of the Weill Institute for Neuroscience, our laboratory is located on the Mission Bay campus providing access to the UCSF Neuroscience and Bioengineering communities including the Neuroscape, Kavli Institute for Fundamental Neuroscience and Baker Computational Health Science Institute.
Additional information is available at: https://abbasilab.org
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
✔️ @ApplyTime
Open PhD and visiting researcher positions at University of Victoria, Canada
Hi all,
The Deep Learning research group at the University of Victoria, CA is hiring PhD students and visiting researchers. Candidates will conduct research on topics of deep learning.
Future PhD candidates should:
Have a solid background in machine learning, ideally with published papers in top-tier conferences such as ICLR, ICML, NeurIPS, CVPR, ICCV.
Be proficient at coding, with familiarity in PyTorch, Tensorflow, or JAX.
Have strong self-motivation for research.
Visiting researcher positions are also available starting now.
For more information about the position or fund please email Cecilia Summers at ceciliasummers07@gmail.com. Please provide a CV with your application.
Best,
Cecilia
✔️ @ApplyTime
Hi all,
The Deep Learning research group at the University of Victoria, CA is hiring PhD students and visiting researchers. Candidates will conduct research on topics of deep learning.
Future PhD candidates should:
Have a solid background in machine learning, ideally with published papers in top-tier conferences such as ICLR, ICML, NeurIPS, CVPR, ICCV.
Be proficient at coding, with familiarity in PyTorch, Tensorflow, or JAX.
Have strong self-motivation for research.
Visiting researcher positions are also available starting now.
For more information about the position or fund please email Cecilia Summers at ceciliasummers07@gmail.com. Please provide a CV with your application.
Best,
Cecilia
✔️ @ApplyTime
2-year Post Doctoral Researcher in Deep Learning for Capsule Endoscopy at NTNU, Norway
We have a vacancy for a post doctoral researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
The position will focus on developing data-efficient learning method for automated pathology detection in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms. The position will also support work on automatically constructing 3D models in areas of interest for assessment by gastroenterologists
Deadline 15th of September 2021.
More information on https://www.jobbnorge.no/en/available-jobs/job/210806/post-doctoral-researcher-in-deep-learning-for-capsule-endoscopy
✔️ @ApplyTime
We have a vacancy for a post doctoral researcher position in deep learning in the project “Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction”. The project focuses on applying artificial intelligence and 3D reconstruction to facilitate better pathology detection through wireless capsule endoscopy video stream and thereby simplify the screening and planning task performed by gastroenterologists.
The position will focus on developing data-efficient learning method for automated pathology detection in the gastrointestinal tract and develop enhanced automatic pathology detection algorithms. The position will also support work on automatically constructing 3D models in areas of interest for assessment by gastroenterologists
Deadline 15th of September 2021.
More information on https://www.jobbnorge.no/en/available-jobs/job/210806/post-doctoral-researcher-in-deep-learning-for-capsule-endoscopy
✔️ @ApplyTime
Jobbnorge.no
Post Doctoral Researcher in Deep Learning for Capsule Endoscopy (210806) | NTNU - Norwegian University of Science and Technology
Job noscript: Post Doctoral Researcher in Deep Learning for Capsule Endoscopy (210806), Employer: NTNU - Norwegian University of Science and Technology, Deadline: Closed
If you are interested in AI, join us on LinkedIn:
https://www.linkedin.com/groups/8861263/
#IraniansInAI
https://www.linkedin.com/groups/8861263/
#IraniansInAI