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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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skills. This larger two-part project investigates: (1) what it means to learn to write in the age of AI and how this impacts curriculum design and testing (Project I) and (2) to what extent, and under
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experimental approach gives us the opportunity to get detailed information about the dynamics of molecular collisions. In this project, you will perform reactive scattering experiments, design and implement
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experiments, design and implement advanced detection techniques, analyse data, and carry out numerical trajectory simulations of deceleration and scattering processes. You will have the opportunity to work with
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given
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subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and
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reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide
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of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development