165 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "J" uni jobs in Switzerland
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application Please submit your electronic application for this position by November 26th, 2025. Applications by mail or e-mail will not be considered. For more information on how to apply, please see our https
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an equitable representation of men and women among its staff, the University encourages applications from women (http://www.unil.ch/egalite ). UNIL supports family-friendly recruitment and covers travel expenses
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life of a buzzing international department in the heart of Basel, Europe's life science capital (https://twitter.com/ETH_BSSE ), with key global players of the life science world (Roche, Novartis, Lonza
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, mechanical, or industrial engineering. You are driven by an interest in developing novel theory and methods for solving real-world problems. Programming, modelling, and data analysis skills in python and
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or equivalent qualification and is expected to establish an internationally recognized research program in the field of physical inorganic chemistry. Research methodologies may include, but are not
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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encompass a breadth of organic geochemical approaches (GC-FID, GC-MS, HPLC-APCI-MS, HPLC-ESI-Orbitrap). In collaboration with the group of Sebastian Doetterl (https://soilres.ethz.ch/), additional soil
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. 10007007; project start 01.10.2025: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development
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expertise? Through an Impact Collaboration Programme (ICP) project, you can develop creative ways to work together to ensure that the best available knowledge supports the design of solutions to the complex
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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework