8 bioinformatics "UCL" research jobs

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  • UCL; | London, England | United Kingdom | 15 days ago

    power in the ‘medicine, health and life sciences’ panel, including psychology, psychiatry and neurosciences. Within UCL, we are based at the Division of Psychology and Language Sciences (PALS), which has

  • Nature Careers | London, England | United Kingdom | about 1 month ago

    About us The UCL Cancer Institute is a £40 million investment in central London based at University College London (UCL), one of the world's top universities and a founding member of the Francis

  • ; | London, England | United Kingdom | 2 months ago

    at UCL. We are recruiting a Research Fellow to support ongoing work on the immune response to neurodegeneration and on the identification of neoepitopes/neoantigens targeted by clonally expanded immune

  • ; | London, England | United Kingdom | 3 months ago

    apply for this role please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-08935. You will have a MSc in bioinformatics

  • University College London | London, England | United Kingdom | about 1 month ago

    a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral

  • ; | London, England | United Kingdom | 2 months ago

    The UCL Cancer Institute is the hub for cancer research at University College London, one of the World's leading universities. The Institute draws together over 300 talented scientists who

  • University of London | London, England | United Kingdom | 2 months ago

    -motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication

  • ; | London, England | United Kingdom | 3 months ago

    -motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication

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