189 density-functional-theory-molecular-dynamics Postdoctoral positions at University of Oxford
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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About the role Applications are invited for a Postdoctoral Research Associate in Inorganic Chemistry to work under the supervision of Professor Michael Hayward for a period of up to 9 months
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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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of comparative genomics and molecular evolution analyses to identify these targets. The project will make use of software developed in the Kelly group as well as other widely used software for biological sequence
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will focus primarily on mass spectrometry analysis and will best suit a candidate with a PhD and relevant experience in molecular/plant biology and mass spectrometry. You must work as part of a team, be
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biology or a related subject. You should have a competence in cell biology and basic molecular biology techniques. The ideal candidate should be organised, highly motivated and able to work independently as
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford
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will also have experience in vivo/in vitro experimental models, functional genomics (CRISPR, shRNA), molecular biology. You will possess a strong skills in decision-making, problem-solving, planning and
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of their impact on cellular and molecular phenotype of iPSC-derived neurons and glia. The work will involve (i) establishment of cultures of iPSC-derived neuronal and glial cells (ii) design of CRISPRa/i strategies