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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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particle physics, perform data analysis and develop object reconstruction algorithms in the ATLAS experiment. You will become a member of the ATLAS collaboration and will be based in Nijmegen. Furthermore
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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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aim to understand commitments in communication, combining linguistic experiments with theoretical communication analysis. By speaking we undertake commitments, obligations to others to act in certain
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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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sound like you? You should hold a Master's degree in spatial planning, urban and regional studies, policy and systems analysis, strategy and decision-making, infrastructure management and operations, or a
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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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of a critical phenomenological analysis based on a literature review and data collection. This data collection will mainly consist of qualitative interviews and diary exercises with Long Covid patients
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug