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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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engineering to generate required reporter lines - and perform mass-spectrometry proteomics to identify phosphorylation patterns and binding partners of the cryptochromes. You will work closely others in
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of) a PhD or DPhil in a relevant discipline (such as Biochemistry, Pharmacology, Molecular and Cell Biology or Natural Sciences) and have proven recent experience in the field of cardiovascular biology
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responsible for running your own research work, as part of our wider research aims and directions in our newly formed team. You will be working in a growing department within the Medical Sciences Division
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students. Essential selection criteria • A doctoral degree (PhD or DPhil) in chemistry, physics, engineering or other relevant discipline. Post-qualification research experience (Grade 8
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-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with
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and restoration science and publish results in high impact peer review journals. The outputs from this research will play a critical role in advancing our understanding of savanna ecosystems undergoing
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(or close to completion) in Neuroscience, Molecular Biology, Genetics/Genomics or related area. You will have demonstrable experience in translational human (or animal) neuropathology and knowledge
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articles and occasionally present papers and posters. It is essential that you have a relevant PhD/DPhil (or close to completion) in Immunology or Biomedical Sciences along with relevant experience in
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This post is fixed-term until 31 March 2025. COVID-19 and avian influenza are potent reminders of our collective vulnerability to infectious diseases. This is an excellent opportunity for a bright and enthusiastic researcher to develop their career in statistical epidemiology within the...