134 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford
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microscopy and bioimaging methods to understand dynamic cellular aspects of ciliary dynein assembly. You should hold, or be close to completion of, a PhD/DPhil in biochemistry, together with relevant
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. You will have specialist knowledge in inductive and deductive qualitative research methods (including e.g. Framework Analysis). Experience/knowledge of child anxiety presentation, measures and
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interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
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to perform a broad array of bespoke tasks effectively and with minimum operator intervention. This role is an integral part of our EPSRC Programme Grant in Embodied Intelligence and will involve both
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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previous experience in a relevant area of biological or physical sciences. You will have experience with molecular biology, including protein expression and purification methods and also biophysical
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methods. Application Process You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly
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to work and willingness to collaborate. You should thrive on scientific challenges associated with working on human lymph node tissue, be keen to learn, test and develop new tools and methods. Application
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. The post-holder will be one of six centre-funded postdoctoral researchers delivering on projects that form our core research programme. They will be a cornerstone of the centre, collaborating across our
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leadership skills as a postdoctoral researcher. This position is for 24 months at Grade 7. You will be working in either the rapidly emerging area of functional material photonics in non-von Neumann computing