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Field
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Engineering and Computer Science (EECS) Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and
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. The study will involve computational modelling of dynamic aperture and coherent instabilities based on single- and multi-particle tracking simulations, as well as designing and conducting experiments
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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, Optical Engineering, or Electronics and Electrical Engineering, and will have a proven track record in performing independent research in theoretical nonlinear fibre optics, or in soliton theory and the
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30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project
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candidate will have a first-class degree and PhD in Mechanical Engineering, Physics or relevant fields. They will have experience in computational research in the field of the project, with a strong
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semiconductor materials. The position is available for a fixed term until 30 September 2028. This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry