473 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" Fellowship positions in United Kingdom
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are given full support throughout the application process. The FLF EOI selection process has been an excellent way for Swansea University to identify exceptional talent for not only the FLF programme, but
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of valid receipts. Visa applications are applicant-led; further information can be provided by HR on request. The Applications Process To view further particulars and apply, please click the ‘Apply’ button
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devise and implement a new and/or revised process (e.g. new programme or a recruitment drive) Advise on personal development Contribute to administrative activities within the University (e.g. appeals
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graduate teaching, supervise postgraduate research, exercise academic leadership, and pursue an active programme of original scholarship within the field. This post is designed to ensure continuity and
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candidates with particularly strong or relevant profiles. Shortlisted applicants will be invited to participate in a programme of support activities hosted by the University, including online training sessions
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-EPIH-2026-01. The supporting
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core team. To increase integration with the UKESM team, while this is a University of Leeds position, the successful candidate will be physically based at the Met Office in Exeter, where the bulk
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical