134 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford in United Kingdom
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methods (Uphoff PNAS 2013; Robb, Sci Reports 2019; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them to proteins functioning on DNA and RNA (Stracy, PNAS 2015; Mazumder
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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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and numerical modelling, as well as the development and construction of a new mm facility, The Africa Millimetre Telescope, in Namibia. The successful applicant will be based in Oxford and work
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) prior to taking up the appointment. The research requires experience in biological mass spectrometry methods, including HDX MS, and substantial molecular and cell biology experience. You will be expected
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Telescope. You will also have the opportunity to teach. You should hold a PhD (or close to completion) in a relevant area of astrophysics or physics. Experience in performing numerical simulations in
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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. Experience in the expression and purification of recombinant proteins as well as biochemical and biophysical characterisation methods are essential. You will possess sufficient knowledge and experience in
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Control.” The position is available for a fixed term until 31 July 2027, with the possibility of extension subject to funding. The research focus is on probing the impact of processing methods and
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and manipulation and a knowledge of relevant statistical methods. You will possess exceptional organisational skills, an ability to work efficiently with collaborators and to supervise and educate