26 Mathematics "Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt" Postdoctoral positions in Switzerland
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highly motivated and self-organized individual with a PhD or equivalent industry experience in the topic of Geoscience, Engineering, Mathematics, Physics, or a related technical field, with a proven track
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4 Apr 2024 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Biology Mathematics » Computational mathematics Neurosciences » Other Researcher Profile Recognised
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depending on their background, expertise and affinities. Actively contribute to all departmental and group activities. Your profile : A Ph.D. in Mathematics. A strong research record, in stochastic
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24 May 2024 Job Information Organisation/Company University of Basel Research Field Agricultural sciences » Other Anthropology » Social anthropology Economics » Management studies Sociology » Other Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 21 Jun 2024...
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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics
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optimization sub-group of the Reliability and Risk Engineering Lab. To this aim, the successful candidate will: Advance mathematical optimization methods to further our understanding of future energy systems
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the optimized models for suggesting new experiments to identify digital biomarkers that can be used to classify disease models Profile You are a team-player You have a bachelor in physics, mathematics
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degree in Economics, Finance, Mathematics, Engineering, or a related field. For the PostDoc position you hold a PhD in Economics or Finance or a closely related field. You have good knowledge in
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, microbiology, or evolution. Previous experience with microscopy and microfluidics will be valued. The candidate should have demonstrated experience in programming for data analysis, and/or in mathematical
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, deep learning, and topological optimization. Highly motivated, self-driven, and shows excellent performance Strong analytical, mathematical, and algorithmic capabilities Understanding and experience in