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international initiatives. To be considered, you must hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical
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Responsibilities Develop suitable algorithmic methods for live and real-time analysis of synchronous and asynchronous data. Write research reports and publications. Analyse and interpret the results of own research
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering
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in preventing immune-mediated pathology in autoimmunity remains poorly understood. Using genetic and antibody-based targeting, we aim to dissect how these pathways modulate T-cell signalling
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We are seeking to appoint a Postdoctoral Research Assistant to join Professor Holm Uhlig’s group at the Centre for Human Genetics, University of Oxford. You will be investigating mucosal barrier
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). The successful applicant will hold a PhD qualification and have experience in microbiology, genetic engineering and bioprocessing. Applications are also welcome from candidates currently pursuing or nearing