122 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford
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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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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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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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. The group is well known for developing single-molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them
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purification of recombinant proteins as well as biochemical and biophysical characterisation methods are essential. You will possess sufficient knowledge and experience in mammalian cell culture and associated
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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
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with