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assistants and formalization of mathematics (e.g., Lean, Coq, Isabelle) Automated reasoning for mathematics (e.g., SAT/SMT solvers, first-order theorem provers) Machine learning for mathematics (e.g., model
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student-centered university. The successful candidate will have a PhD in Mathematics, Physics or related field or extensive applicable experience and must be able to teach lab-based courses. The candidate
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of research outcomes. Supervise or mentor junior researchers and students when appropriate. Qualifications and experience PhD in engineering, computer science, bioinformatics, applied mathematics, neuroscience
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mathematical and computational models, often drawing on concepts from statistical physics, and we envision a tight coupling with experimental data. Taking a complex systems approach, we wish to elucidate
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/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical or computational modelling Ability to develop and pursue independent research questions Interest in
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mitochondrial behaviour. This is one of two PhD positions in “MitoPhyto” hosted at the Department of Mathematics, where this focusses on mathematics and modelling and the other is more focused on experimental
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is a full-time position, and the selected candidate will join the Population Neuroscience Group. This Group, co-directed by Drs. Pausova and Paus, works on genetic and environmental factors shaping
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze