72 parallel-processing-bioinformatics Postdoctoral positions at University of Oxford in United Kingdom
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diversity Our active Psychiatry People and Culture teams and initiatives work to make the Department of Psychiatry as supportive, welcoming and inclusive as possible. Application Process You will be required
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for solving problems related to safe robotic exploration and planning under epistemic uncertainty. We typically work with Markov decision processes (MDPs), and are looking for someone with experience in both
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should be an expert in at least one of those techniques and keen to learn the others. You also should have a deep interest in molecular mechanisms underlying biological processes and – if not experience
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demonstrable experience, ability and practical success in end-to-end analysis of bulk, single-cell and/or spatial transcriptomic or proteomic datasets, including raw sequencing data processing, quality control
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and Culture teams and initiatives work to make the Department of Psychiatry as supportive, welcoming and inclusive as possible. Application Process You will be required to upload a covering letter
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partners from the Circular Bioeconomy Alliance as well as across the Centre, the post holder will synthesise insights from research and dialogue processes, contributing to systemic change in nature finance
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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response to stimuli, allowing them to transduce signals to the cell interior. Dynein-2 lies at the heart of these processes, as it is the molecular motor responsible for all retrograde transport from the tip
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-time appointment on a fixed term contract for 1 year and you will be based at the Cardiovascular Clinical Research Facility, Level 1, John Radcliffe Hospital, Oxford, OX3 9DU Application Process
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science to work on a research programme seeking to better predict and treat episodes of severe mental illness, using a novel data science approach based on measurements of symptom instability. What We Offer