134 parallel-computing-numerical-methods Postdoctoral positions at University of Oxford in United Kingdom
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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry
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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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-linear systems of ordinary differential equations and the proficient use statistical programming languages (R, Julia or Python), Bash computing and the development of computational packages are essential
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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 cell-based
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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
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as part of an CRUK Discovery Programme Foundation Award in close collaboration with Dr Robert Köchl between the Kennedy Institute of Rheumatology (KIR) and Kings College London (KCL). The focus
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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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-genome deep-sequencing data collected as part of the Office for National Statistics Covid Infection Survey, with a focus on using household data to enable methods for determining who-infected-whom using