28 genetic-algorithm Postdoctoral positions at University of Oxford in United Kingdom
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renewable award. You will lead a programme of research in the molecular mechanisms of cardiovascular disease, that may include a range of approaches including targeted genetic murine models, primary cell
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purification, and recombinant DNA techniques. Experience of isolating proteins at native expression levels or from membranes, expertise in bacterial genetics, and expertise in quantitative fluorescence
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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to completion) in applied machine learning. You will have sufficient specialist knowledge in machine learning, genetics, infectious diseases and immunology to work within established research programmes and have
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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vascular biology) alongside experience in cell biology and cell signalling in isolated primary cells. You must also have experience in phenotyping of genetically modified experimental models
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
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biology, biochemistry, and cell biology techniques (e.g. molecular cloning, protein and RNA extraction, PCR, gel electrophoresis, western blotting, mammalian cell culture, genetic manipulation of cells