163 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" Postdoctoral positions at University of Oxford in United Kingdom
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combination with global km-scale models. Successful applicants will work closely with our national and international collaborators and are expected to develop innovative research approaches. The post-holder
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Supporting Statement. The CV should include a publication list, or a link to an ADS library, and should be up to 4-pages long without publications. The supporting statement should be 2 pages of A4 and must
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The Qing Laboratory at Oxford is recruiting postdoctoral researchers (multiple positions available) to join a Bill & Melinda Gates Foundation–funded programme focused on developing innovative
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climate forecasting. The aim of the project is to develop innovative solutions to better understand and correct the SNP, improving climate predictions for the Euro-Atlantic region and beyond. Applicants
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The Qing Laboratory at Oxford is seeking a highly motivated postdoctoral researcher to join a NERC-funded Pushing the Frontiers of Environmental Science programme focused on advancing nanopore
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to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full-time position available for 3 years in the first instance
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organisation across species. This will be a key pillar of a larger UKRI-funded research programme developing anatomy-driven artificial intelligence methods for fundamental and translational neuroscience. Working
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management oversight. A separate ground-breaking experimental medicine programme will enable the analysis of samples generated from participants for the development of novel biomarkers. The EXPERTS-ALS
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of Oxford’s job application website (link below). Applications should include a CV, list of publications and research statement (max. 3 pages). Consideration of applications (and interviews) will be conducted
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive