86 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions at University of Oxford
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research programme on “Enabling consumers to make healthy financial choices”, focusing on how technological and organisational solutions can improve financial literacy and decision-making. This post, under
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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training of mice, in vivo two-photon imaging, viral circuit tracing, and computational analysis to study how fronto-sensory feedback microcircuits contribute to adaptive cognition. The successful applicant
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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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experience in understanding eukaryotic microbial diversity. You will possess sufficient specialist knowledge in the discipline to work within established research programmes. Excellent communication skills
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channel research including biophysical, physiologial and pathophysiological knowledge to work our established research programmes. You should also be able to demonstrate your ability to manage your own
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world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry