302 programming-"https:"-"https:"-"https:"-"IFM" Fellowship positions in United Kingdom
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experience of research in plant and soil science, using both qualitative and quantitative methods. You will have some experience in mathematical modelling and basic-level programming, but our main requirement
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sustainable market entry. This project is part of a UKRI‑BBSRC-funded programme based at the University of Leeds, working closely with collaborators at the Universities of Manchester and Warwick. The project
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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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the Academic Director, a programme of research and develop research questions within a discrete area of a broader research agenda • Contribute to establishing the strategic direction for the Project’s
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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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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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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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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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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