480 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions in United Kingdom
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networks (PMID:26655834, PMID:34106209, PMID:39009834 and BioRxiv. https://doi.org/10.64898/2025.12.01.691495). The importance of Arp2/3 complex subunit isoforms is evident from the observation that loss
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://lupo-lab.com ) seeks a talented and motivated scientist to carry out a research programme focused on characterising ultrafast laser pulses. The project is expected to lead to significant technological
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deadlines and tight time scales. Enjoys responsibility and solving unexpected problems with commitment to continuous improvement. For further information about this position and to apply, visit http
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Families, Strengthening Communities: Safer Lives (SFSC:SL) parenting programme for the parents of young people at risk of offending or youth violence. The study is an efficacy Randomised Controlled Trial
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led by Dr Clement Sefa-Nyarko. About The Role This role will support the methodological development of the UKRI Future Leaders Fellowship – Justice in Critical Minerals Governance and Energy Transitions
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and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT in
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Deadline 19 Jan 2026 - 00:00 (UTC) 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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) Country United Kingdom Application Deadline 19 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis