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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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have: a PhD or equivalent qualification (or be nearing completion thereof) in Materials Science/Engineering or another subject relevant to the study, development and/or application of nanostructured
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technology university delivering economic, social and cultural benefits. The University has been awarded a grant by the British Council through the International Science Partnerships Fund, provided by UK
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be hosted in the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational
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; History and Philosophy of Science; History of Art; Theology, Religion & Philosophy of Religion; Land Economy; Philosophy. Our Research Fellowship awards are for early-career academics. Successful candidates
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in aircraft systems. Through close collaboration with industry partners, this research will guide sustainable technology strategies, addressing key cost/benefit challenges through 2030 and 2050. Role
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impacts of recyclable and recycled materials in aircraft systems. Through close collaboration with industry partners, this research will guide sustainable technology strategies, addressing key cost/benefit
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immunosorbent assay (ELISA). Support the project by co-leading the literature review work-package. The successful candidate should have: PhD in appropriate Discipline (Environmental Sciences, Ecotoxicology
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience