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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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in one or more languages such as R, Python, C/C++, or Perl. Experience with high-performance computing environments is an advantage. Excellent understanding of statistics and experience with complex
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, biochemistry, computational biology, systems biology, or a related field. Strong hands-on expertise in high-resolution LC–MS/MS, with proven experience in metabolomics, lipidomics, or exposomics. Demonstrated
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needs to account for the interactions of molecules and materials with the process performance that occur at interfaces: e.g., adsorbent materials, heat exchanger surfaces, or membranes. The ProMote
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. - Experience with large-eddy simulation (LES), high-performance computing, and numerical modeling of atmospheric flows is highly desirable. For both positions: - Ability to work independently as
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14 Feb 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Technology » Energy technology Technology
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Programme? Not funded by a EU programme Reference Number 6121-25824 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Paul Scherrer Institute PSI is the largest
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-/nanofabrication, advanced optical microscopy and nanooscopy, image analysis, computational analysis Interest in getting trained in molecular and cellular biophysics, bionanotechnology, cell and tissue biology, high
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Programme? Not funded by a EU programme Reference Number 3501-26132 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Paul Scherrer Institute PSI is the largest
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designing and performing high-temperature and high-pressure in-situ experiments is advantageous. Fluency in English (both written and spoken). We offer We provide a dynamic and exciting work environment with