600 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Oxford in United Kingdom
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relevant PhD/DPhil in immunology or cell biology (or near completion) together with proven evidence for ability to independently lead and complete impactful research projects that address fundamental
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should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
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Nathalie Seddon (current Director, who would become co-Director) and oversee the Agile programme management team (the ‘Engine Room’). The MG reports to the Agile Executive Board, chaired by Professor Patrick
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials
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at the Old Road Campus Research Building (ORCRB), Oxford, OX3 7DQ and it is offered on a full-time, fixed-term basis for three years. About you You will hold a PhD (or near completion) in a relevant discipline
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overseeing and implementing the Centre’s programmatic activity related to policy impact, working closely with the Research Programmes Lead to drive the delivery of an integrated and coherent programme of
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thermodynamics. You should possess a relevant PhD/DPhil (or be near completion). Experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures is essential. As is excellent
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-level support to our Director and Programme Delivery Manager. You’ll manage complex diaries, coordinate events, liaise with senior stakeholders and keep on top of critical priorities. Key responsibilities
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Research (PROSPER) programme tackles barriers to employment growth in low- and middle-income countries. Anchored at the Blavatnik School, it is a collaboration between world-leading researchers and
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A postdoctoral research associate position is available for a technically strong researcher to join the Oxford Machine Learning in NeuroImaging (OMNI) lab at Oxford’s Department of Computer