192 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at University of Oxford
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applications. In this role, you will take the lead on an independent project within our broader research programme. Your work will centre on identifying and characterising novel regulators of the immune response
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Reporting to Dr Natalie Kyneswood, the post holder will be based at the Centre for Socio-Legal Studies as a Postdoctoral Researcher during Phase II of the Wellcome funded project: ‘Care in
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molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those with significant implications for plant and animal health. This post is part of a Wellcome Trust-funded
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and structural biology of rhomboid-like membrane proteins. You should hold a PhD/DPhil in a topic relevant to structural biology and biochemistry, together with relevant experience. You should be able
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for differential rate correction). The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience
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We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic resonance or related areas. The successful
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Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions
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Engineering (IBME) and the Department of Oncology, with an expected split of approximately 50:50 between these departments. This position offers opportunities to develop expertise in the technical aspects
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic