199 optimization-nonlinear-functions Postdoctoral research jobs at University of Oxford in Uk
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nonlinear aspects. Previous experience in developing advanced constitutive models, particularly for rubber-like materials, is desirable. Informal inquiries may be addressed to Laurence Brassart (email
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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With the human population estimated to reach 9.8 billion people by 2050, the looming nitrogen (N) crisis, stemming from the intensive use of fertilisers in agriculture, requires urgent global action
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Researcher to join an interdisciplinary team working on a theoretically informed, participatory, implementation study (OPTIM-I), aiming to optimise the use of professionally trained interpreters (PTI) in
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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About the role An exciting opportunity has arisen to join the Department of Oncology as a Postdoc within the Cancer Prevention Vaccine team, part of the GO-Precise alliance (PRECancer Intervention
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BBSRC grant awarded to Prof Francesco Licausi. The work is to be conducted in the Life and Mind Building, Department of Biology, University of Oxford. The postholder will work on the molecular mechanisms
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Research Programmes Lead Contract type Fixed Term (13 months) to November 2026 in the first instance Hours Full time (37.5/ 1 FTE) About the role The Research Programmes Lead is an important
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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be for up to 3 years in association with a new Faraday Institution
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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