86 data-"https:"-"https:"-"https:"-"https:"-"Inserm" Postdoctoral positions at University of Oxford
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shifts, proposing and undertaking new experiments, carrying out the corresponding data analysis and reporting the findings to the Accelerator Physics and Machine Development meetings. Applicants should
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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at the CERN accelerator complex, followed by corresponding data analysis. The outcomes of this work are expected to support the HL-LHC Upgrade by identifying possible improvements in dynamic aperture
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scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. Additionally, you will collaborate in the preparation of scientific reports and journal articles and
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, including quantum field theory, condensed matter physics and/or quantum information theory. Applicants will be expected to have, or be close to completing, a PhD in theoretical or mathematical physics or a
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climate and environmental goals. In this role, you’ll be part of a collaborative team designing useful advice and tools for farmers, managing and analysing agricultural data, and leading your own areas
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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(email: Laurence.brassart@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th January
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. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing an effective supporting statement. Further