67 programming-language-"St"-"FEMTO-ST"-"University-of-St"-"St" positions at Utrecht University
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a leading academic in pharmacology
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basic programming skills or R-experience. strong written and oral communication skills in English. Additional Information Benefits a position for one year (1.0 FTE), with an extension of a year upon a
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experience working in a collaborative project with academic partners and life science companies. You will also enrol in the Graduate School of Life Sciences (GSLS) Infectious diseases and Immunology programme
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The accelerating transition toward climate
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research programme in immunopharmacology. You are committed to further strengthening our existing expertise in immune-targeted therapies, inflammation biology, mucosal immunology, and immune modulation
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) Country Netherlands Application Deadline 19 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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of sediments, carbon, pollutants, nutrients, oxygen, and heat from the continental shelves to the deep ocean. Training A personalised training programme will be set up reflecting your training needs and career
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. Have programming skills or a strong willingness to learn them. Speak and write proficient academic English. Additional Information Benefits a position for 18 months, with an extension to a total of four
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(Enabling biodiversity-positive transformation of energy planning towards climate neutrality), funded through the Biodiversa+ programme, brings together leading universities and research institutes from
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, penalised structural models, and large language models (LLMs), to investigate associations between disease outcomes and complex, high-dimensional, time-varying exposure data. You will integrate rich exposome