309 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral positions in United Kingdom
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: This post will contribute to a developing programme of quantitative research on work and well-being, in relation to modern work (flexible working, digitalisation of work, AI), leadership, and entrepreneurship
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Investigator: Dr Abhishek Banerjee) to lead a research programme examining how the brain supports flexible behaviour in both mice and humans. The project centres on two complementary experimental streams. In
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research programme integrating environmental science, creative practice and entrepreneurial approaches to develop innovative climate communication tools. The University of Birmingham brings internationally
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project led by Stirling and Bangor Universities, funded by the BBSRC Sustainable Aquaculture Partnerships for Innovation programme. This project will combine experimental and functional genomic approaches
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/or software engineering are recommended for this position. The post requires strong research, programming, and system development abilities. Applicants must have a track record of publications in
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We are looking for a highly motivated and skilled researcher to lead and contribute to research programs in the lab that are aiming to understand megakaryocyte biology and the bone marrow
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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About the Role We are seeking a motivated researcher to join a programme investigating how the tumour microenvironment shapes metastatic progression. The role focuses on understanding how anti
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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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