Neural Circuits
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University of Chicago - Grossman Center for Quantitative Biology and Human Behavior
The Grossman Center for Quantitative Biology and Human Behavior at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience.
Katharina Wilmes
We are looking for highly motivated Postdocs or PhD students, interested in computational neuroscience, specifically addressing questions concerning neural circuits underlying perception and learning. The perfect candidate has a strong background in math, physics or computer science (or equivalent), programming skills (python), and a strong interest in biological and neural systems. A background in computational neuroscience is ideal, but not mandatory. Our brain maintains an internal model of the world, based on which it can make predictions about sensory information. These predictions are useful for perception and learning in the uncertain and changing environments in which we evolved. The link between high-level normative theories and cellular-level observations of prediction errors and representations under uncertainty is still missing. The lab uses computational and mathematical tools to model cortical circuits and neural networks on different scales.
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