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Reference Number BAP-2026-5 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project centers on the development of a computational platform model for a
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of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research that seeks to explain the weak inheritance features
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dysfunction. Building on more than two decades of development stochastic models that explain the population behaviour of immune cells subject to controlled stimulation, you will collaborate in research
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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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spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level (neural mass models) as well as at the neuron
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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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/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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predictive mathematical framework for these interactions—particularly in eccentric orbits—remains incomplete. This PhD project will develop and analyse theoretical models describing the secular evolution