1,556 computer-security "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers
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proposed research program for the next 3-5 years, and (4) contact information for three references. Review of applications will begin 01 March 2026 and will continue until the positions are filled.
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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, biophotonics, light-enabled nanotechnology, nanophotonics, nonlinear optics, optical metrology, optical quantum technology, and ultrafast spectroscopy. The research program of the candidate is expected
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are its educational program, robust bereavement program and care-coordination with both home health and palliative/ hospice home-based program s . This position will also play an essential role in
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, and career advancement. Established focus in bioinformatics or computational pathology is strongly encouraged. The ideal candidate will have multiple years of experience in molecular pathology case
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including the Faculties of Biology, Psychology, Physics, Chemistry, and Mathematics and Computer Science as well as the local Max Planck Institute for Molecular Biomedicine. To support emerging scholars early
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research project during the fellow ship period This two-year program provides fellow s with the opportunity to work directly with some of the world's most noted researchers and clinical faculty. Fellow s may
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research reputation, a proven record of academic leadership and the ability to lead an innovative research programme in the School. Full details about the position can be found here . Interested candidates
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, including participation in evaluation measures and quality assurance. What we expect from you: Outstanding records in a doctoral program and strong demonstrated ability or potential for high-quality research
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts