54 fully-funded-phd-program-computer-science-eth Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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Research fellow in dementia research This is an excellent opportunity for a postgraduate candidate with strong research and organisational skills to develop their expertise in dementia research. Applications are invited from enthusiastic early stage researchers to join the research team based at...
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and lead publication and dissemination activities. Candidate requirements Essential PhD (or near completion) or equivalent qualifications and experience in Plant Biology, Plant Physiology, Microbiology
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the project You will join an interdisciplinary project delivered
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Researcher (R3) Application Deadline 11 Apr 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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to completing a PhD) in physics or a related discipline, or an equivalent qualification. EDI and working environment The School of Mathematical Sciences is committed to promoting equality and diversity, and holds
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(UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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- 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer