77 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" Postdoctoral positions at University of Oxford
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programming; running an imaging study; blood-brain barrier evaluation; and/or the application of machine-learning methods to large (ideally imaging) datasets. Informal enquiries may be addressed to Professor
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by ATi/Innovate UK and Rolls Royce and is fixed-term to June 2029. You will join a world‑leading programme advancing experimental and numerical methods to predict the impact performance of composite
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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towns programme, organise and run patient and public involvement events to engage with community members and innovate, contribute to and promote the research, publication and impact focus of the centre in
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experiment will be an advantage. Candidates are expected to demonstrate the ability to communicate effectively, plan and execute research activities, and work in a team. Please direct enquiries about the role
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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area. Advanced programming and statistical skills with the ability to manage multiple competing demands along with excellent communication skills are also required, along with a proven track record of
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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author in computer science, social science or cognitive science, strong quantitative and programming skills along with excellent communication skills and a collaborative outlook, including a willingness to
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant