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the context of precision psychiatry, in the Department of Applied Mathematics and Theoretical Physics. The successful candidate will join the team of Dr. Gamze Gursoy, working on topics related to statistical
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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, epidemiologists, etc.) to identify and discuss the role and likely importance of the multiple sources of measurement error that will affect ZIKV-IPD-MA-2S analysis. Use simulated datasets in concert with feedback
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groups' work through analysis of published studies and conference presentations. Help shape and refine research goals within the group. Qualifications PhD in Physics or related fields. Notice of Non
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Postdoctoral Research position supports advanced research in artificial intelligence, energyefficient computing, foundational mathematical models, high-performance computing, dimensionality reduction, and
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libraries and a trial experiment for private healthcare data collection and analysis. * Assigned department Existing departments Date of new establishment:2013 [Work location] * Address 164-8525 Tokyo 4-21-1
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8 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Physique des Particules de Marseille Research Field Mathematics History » History of science Researcher Profile First Stage
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domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation
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companies and authorities. Teaching and/or other departmental work may be included with up to 20%. The Department of Mathematics and Natural Sciences is one of six departments at the Faculty of Engineering
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, physics, computer science, applied mathematics, or similar Required competences Strong background in image processing and analysis, especially Deformable image registration and 3D segmentation methods