312 programming-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
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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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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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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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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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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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basic-level programming, but our main requirement is for someone who will understand the plant and soil science behind the project and be able to translate that into models using the results
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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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cross-sector assessment of green steel requirements for the EPSRC IGNITE Sustainable Manufacturing Hub. The postholder will design and coordinate research programmes, oversee a 12month programme of
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Studies. Working under the supervision of Professor Rita Abrahamsen (Chair of African Studies), the successful candidate will develop and pursue an ambitious and original programme of research within
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, computational mechanics). Evidence of scientific programming and good software/reproducibility practice (e.g., Python/MATLAB/C++ and/or established modelling platforms). Familiarity with asymptotic and multiscale