264 computer-programmer-"https:"-"https:"-"Data-driven-Materials-Modeling" Postdoctoral positions in United Kingdom
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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of resistance in high grade serous ovarian cancer. They will lead computational aspects of our work, strengthening our informatics expertise and working collaboratively with team members to develop new
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to an exciting research programme focused on understanding and mitigating vaccine-induced immune thrombocytopenia with thrombosis (VITT). This CEPI-funded project is led by Prof. Dame Sarah Gilbert’s group
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Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University. The successful applicant will work
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at the University of Oxford. You will contribute to an exciting research programme focused on understanding and mitigating vaccine-induced immune thrombocytopenia with thrombosis (VITT). This CEPI-funded project is
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the
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multistep organic synthesis. The research program further aims to establish structure, property relationships governing the electronic, photophysical, and charge-transport properties of these materials
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, Headington, Oxford). The post is funded by the Horizon Europe program for 12 Months. You will be based in Nuffield Department of Surgical Sciences, John Radcliffe Hospital as your normal place of work; but you
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screening within the cervical screening programme in England and Wales. Under the supervision of Prof Jo Waller, you will lead the day-to-day work on the behavioural science aspects of the project in England
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research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory