448 computer-science-intern "https:" "https:" "https:" "https:" "Central European University" positions in Switzerland
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to support promising junior researchers in developing a PhD project to apply for follow-up funding. The Doctoral Program in Literary Studies The international, interphilological Doctoral Program in Literary
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15 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Other Chemistry » Other Environmental science » Earth science Physics » Chemical physics Physics
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computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology, quantitative biology (phenotyping), computational biosystems analysis
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(R2) Country Switzerland Application Deadline 19 Mar 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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17 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Agricultural sciences » Other Economics » Food economics Economics » Other Researcher Profile First Stage Researcher (R1
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demonstrate outstanding research and teaching records and a proven ability to direct research work of high quality. We welcome candidates from all areas of Statistics and Data Science, broadly defined. The new
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, advanced high-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative
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-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative disciplines
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application form. https://apply.refline.ch/673277/1335/index.html?lang=en Company Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial