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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics – particularly statistical mechanics
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at the intersection of neuroscience, artificial intelligence, and medicine? Do you hold a Master’s degree that has equipped you with strong skills in mathematics and programming, and do you have a keen
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acquisition projects like the ATLAS FELIX project. The group is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud University
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mathematics and programming, and do you have a keen interest in neurobiology? If so, we invite you to apply for a fully funded PhD position within our team. Losing the ability to precisely time movements can
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embedded in the Astrophysics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud University (Nijmegen, Netherlands). We are a very tight-knit and socially active
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development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud