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. Engage in ongoing and active research. 2. Participate and contribute in the activities of the Analysis & PDE unit and OIST math group. Qualifications: (Required) PhD in Mathematics. Report to: Professor
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks
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. Currently, a number of mathematical models exist to describe the onset and progression of Alzheimer’s Disease and the effects of anti-amyloid therapies on disease progression. The models are informed by a
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Reality to elicit users’ preferences for innovative transport systems. Applicants with a background in behavioral analysis and mathematical modelling are encouraged to apply. Terms of employment include
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Job related to staff position within a Research Infrastructure? No Offer Description Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics
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PhD in Biological Sciences or a related discipline Preferably, prior professional experience as a Postdoctoral Researcher Proficiency in cell culture techniques, ideally including 3D cell culture models
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-Gordon model, the scaling limit of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with
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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding