195 application-programming-android Postdoctoral research jobs at University of Oxford in Uk
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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mathematical skills, a strong understanding of mechanics and an ability to undertake scientific programming. You will have excellent written and oral communication skills, and an ability to work both
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, particularly in live bacteria or at the single molecule level; programming commensurate with quantitative fluorescence microscopy analysis and single molecule tracking; molecular bacteriology; recombinant DNA
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Baker). The subject of the research project within the Division of Cardiovascular Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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/test articles), intrusive probes, and optical diagnostics. You’ll plan and run test campaigns, analyse data to advance understanding of material–flow interaction, and disseminate results in seminars
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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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Applications are invited for a STFC Postdoctoral Research Assistant in Cosmology . The post is available initially for a fixed-term duration of 24 months. The post holder will report to the group
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong