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centres as required. You will hold a relevant post-graduate degree in Mathematics, Engineering, Health Data Sciences or Biostatistics, have experience in statistics and/or health data sciences and have
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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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Deputy Team Lead- Microsoft Platform Services Team Are you a Deputy Team Lead passionate about leading people, delivering excellent IT services, and shaping the future of Microsoft platforms? Join our dynamic Microsoft Platform Services team within IT Services at the University of Oxford and...
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, including but not limited to Earth Sciences, Physics, Mathematics and Engineering, together with relevant experience. You will possess sufficient specialist knowledge in either volcanic plume dynamics and/or
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educated to at least GCSE standard or equivalent in English and Mathematics, and have previous experience working in a fast-paced, customer-facing environment. You will be passionate about achieving personal
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publications on AI security. You will also prepare working theories and analyse data from a variety of sources, contribute ideas for new research projects, act as a source of information and advice, and
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The Mathematical Institute and Department of Statistics are internationally renowned departments which work closely together and deliver joint undergraduate and postgraduate degrees. Our
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from theory appropriate fluid-wall microenvironments to enable these workflows. It will also be required to develop programs and workflows to maintain cell culture for extended periods of months
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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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