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programming skills, and experience with modern machine learning approaches. You will analyse pangenome structure and dynamics, develop new computational methods for comparative genomics, and investigate
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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research methods, or equivalent experience. This is a fixed term post available at 0.2% FTE (1 day per week) for 6 months. Commitment to Diversity The University of Liverpool is committed to enhancing
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The DataSHIELD research project ( https://datashield.org ) develops infrastructure, privacy-preserving methods and governance processes for federated access and analysis of sensitive healthcare data
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best practice guidance. You should have demonstrable skills in qualitative data analysis, including familiarity with, or knowledge of, engaging research methods (e.g. participatory video, photovoice
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culture and molecular methods like PCR. A track record of publication and strong scientific writing skills. The ability to work both independently and collaboratively within a multidisciplinary team. A
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commercialisation of research assets and translational projects emerging from the BRITE programme. The postholder will work in close collaboration with academic teams, external partners and stakeholders to shape and
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, multidisciplinary team of around 45 researchers and support staff brings together chemists, roboticists, engineers, and computer scientists, including PhD students, postdoctoral researchers, and experienced technical
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projects in either methods research or by collaborating with University colleagues, NHS partners and industry on applied projects. You will have at least a Master¿s degree in health economics, operational