229 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" research jobs at University of Oxford
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undertaking observations or focus groups setting up surveys in web-based survey tools and collecting online data support in developing and writing up case studies coding transcripts which may include developing
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the Nuffield Department of Medicine at the University of Oxford, under the supervision of the BDI Director. The programme aims to leverage large-scale biomedical resources, including UK Biobank, to develop
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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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candidate will contribute to an interdisciplinary research programme at the interface of artificial intelligence, biology, and human health. Reporting to the BDI Director, the post holder will play a leading
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to join a multidisciplinary team developing AI-driven genotype
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research groups and, at full capacity, around 240 research staff, IDRM investigates how understanding normal development can inform strategies to regenerate diseased or injured tissues. Research spans three
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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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work independently to solve problems and play a key role in shaping the delivery of the programme. There will be opportunities for the postholder to develop their own research interests, with
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studies, and clinical trials, and plays a coordinating and collaborative role in major international research programmes including ISARIC, HPRU-EZI, UK-PHRST and ECRAID. Reporting to Professor Sir Peter
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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