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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. A background and/or interest in mathematics or computer science would be
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at the Mathematical Institute, University of Oxford. This is a 15-month fixed term position, until 30 September 2026, though it may be extended if additional funding is forthcoming. The successful candidate will be
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well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For
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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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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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at external meetings and seminars. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, data science, statistics, computer science or a related discipline. You will possess
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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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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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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