243 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions in Sweden
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Tick-borne Bacteria is part of the Swedish Laboratory Network in Microbiology (SLIM) coordinated by the Public Health Agency of Sweden. NRL's mission is to provide primary and confirmatory diagnostics
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application! We are now looking to appoint a postdoc in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in
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Profile Recognised Researcher (R2) Positions Postdoc Positions Country Sweden Application Deadline 2 Oct 2025 - 12:00 (Europe/Stockholm) Type of Contract Temporary Job Status Full-time Hours Per Week 40
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sciences » Clinical pharmacology Medical sciences » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Sweden Application Deadline 19 Oct 2025 - 23:59 (Europe/Berlin
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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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of a diverse set of people from different nationalities, backgrounds and fields. As a postdoctoral researcher working with us, you receive the benefits of support in career development, networking
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of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en
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-smokers. The successful candidate will have a leading role in the analysis of bulk- and single cell RNA-seq data, miRNA seq data from scarce particle samples, multi-omics integration and network medicine