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. You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, computer science, applied mathematics or another related area. (For candidates with an undergraduate/Masters
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge in the operation of high-pressure high-speed tunnel/shock-tube facilities and associated instrumentation
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expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will focus on ambitious, ‘blue sky’ research for novel methods development
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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the development and application of bespoke thin-film gauge heat
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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge of optical diagnostics and optical experiments to operate within the planned programme of
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the CFD simulation of internal combustion engines, and in particular in-cylinder
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for multi-omics data analysis and will require establishing collaborations with Danish research partners. You will have a PhD in a quantitative subject (e.g. mathematics, physics, computer science
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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/DPhil in a relevant subject area related to Biology, biotechnology, photonics or biophysics and possess sufficient specialist knowledge to work within the established research programme. You will have