446 parallel-computing-numerical-methods Postdoctoral research jobs in United Kingdom
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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high quality research Experience of ancient DNA laboratory methods (DNA extraction, Illumina library building, targeted enrichment) Experience of using computational tools for population genetic analysis
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of benthic and demersal fish. The role is part of a grant led by University of Liverpool, funded by the Human Frontier Science Programme (HFSP), entitled Vibrational sensing and production in fishes
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primary data through a mixed‑methods online survey of all identified organisations and movements, creating a multifunctional database. Follow up with survey respondents to deepen understanding of local and
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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The INEOS Oxford Institute for Antimicrobial Research (IOI) is recruiting a Postdoctoral Research Associate to join a multidisciplinary programme focused on tackling antimicrobial resistance
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to support student projects on the use of research methods and equipment. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is
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-technical audiences. You will bring a strong commitment to ethical, inclusive and impactful research. Experience applying geospatial methods in applied, interdisciplinary or health-related contexts is