194 phd-rehabilitation-engineering-computer-science Postdoctoral positions at University of Oxford
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and sports clubs for those looking for more than just a great place to work. About you Applicants should hold (or be close to obtaining) a PhD/DPhil in a relevant field, with significant relevant
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. It is essential that you hold a PhD/DPhil with clear relation to biology together with relevant research experience in academia or industry. You will have experience with cancer genomics, including
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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work. About you Applicants should hold a PhD/DPhil, or be near completion of a PhD/DPhil in structural biology, biochemistry or related area and have gained experience in a wide range of structural
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doctoral students. Results should be presented at national and international meetings as well as published in leading subject and high-impact publications. Applicants should hold a PhD/DPhil, (or close
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maternity services in England. To be considered for this role you will hold, or be close to completion of a PhD in social science or other relevant health related science. You will have experience
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that will be used in human challenge studies. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and
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PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior to taking up your appointment. The research requires experience in bottom-up mass spectrometry
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other members of the group. You will hold a PhD in cancer biology, tissue imaging or a relevant field and will have previous experience in developing and implementing methods for high content imaging