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Publisher
source

National Institute of Mental Health

Postdoc in Computational/Theoretical Neuroscience at NIMH National Institute of Mental Health in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

National Institute of Mental Health

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Keywords

Computer Science
Psychology
Biology
Neuropsychology
Reinforcement Learning
Bayesian Statistics
Behavioral Neuroscience
Neural Circuit
cognitive neuroscience

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About this position

Postdoc opportunity in computational/theoretical neuroscience at the National Institute of Mental Health (NIMH), part of the National Institutes of Health (NIH) in the United States.

The project focuses on using dynamical systems theory, reinforcement learning, and Bayesian inference to study how goal-directed behaviors and learning are regulated by neural circuits. The research aims to connect normative models of behavior with the dynamics of reward-learning circuits in the brain.

The ideal candidate should be comfortable with both the theoretical and empirical sides of behavioral neuroscience and cognitive neuroscience. Interest or experience in computational modeling, reward prediction, and learning across time and experience would be especially relevant.

This is an intramural NIH postdoc, and the post highlights strong collaborative opportunities, no need to worry about grants, and many opportunities for professional development. No deadline or stipend amount is stated in the post.

Interested candidates should contact Eric Garr or Dr. Angela Langdon and review the linked job advertisement for full application details.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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