391 computer-programmer-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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research environment spanning chemistry, structural biology, and cancer biology, you will manage your own research programme while contributing to the broader strategic direction and day-to-day running of
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School of Physics and Astronomy. You will carry out a research programme analysing stellar populations and chemical enrichment processes in galaxies using large galaxy surveys such as SDSS and DESI, as
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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are essential for the role. In order to help to develop the programme of genetics at City St. George’s, we particularly welcome applicants who can demonstrate academic ambition, initiative and independent
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays
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recognised authority in dynamic-compression science and high energy density physics. They will be expected to be capable of developing their own programme of independent externally funded research projects
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer