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Grant “Unwrapping topologically protected light on topologically structured surfaces”. Building on the University of Southampton’s long-established and internationally recognised strength in metasurface
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whose research advances multiscale modelling of materials relevant to energy systems, advanced manufacturing, and structural applications, including metals, alloys, composites, and functional materials
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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, enabling opportunities for future funding applications and career development. Applications are encouraged from candidates with experimental backgrounds in physics, material science, biophysics, structural
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to elite contexts. Examine how organisational policies, cultures, performance structures, and social relations shape everyday practice and support or constrain high-level performance. Co-develop evidence
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organisational structures, including with high profile external supporters (and/or working with their Teams/representatives) Experience working in a large complex organisation It’s not essential but we’d love it
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outer membrane protein biogenesis in the group of Prof Ben Berks FRS. Building on our recent work in this area (Nature (2015) 647: 479-487) you will carry out structure-function and molecular
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jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning
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working knowledge of clinical and biological data management and electronic data capture systems. You have knowledge of SQL and NoSQL (graph-based) databases/structures and are comfortable handling
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. Experience evaluating empirical research, including extracting data from research articles and assessing methodological rigour or study quality (e.g., using structured checklists). A strong commitment to open