174 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of Oxford
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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of conventional and spatially resolved angle resolved photoemission spectroscopy with spin resolution. The post holder provides guidance to less experienced members of the research group, such as PhD and project
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immunity and immunosuppression in cancer, with focus on understanding and enhancing immunity for the prevention of cancer development and spread. This is an exceptional opportunity for a driven individual to
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We are seeking a full-time or part-time PDRA in Energy Demand Observation to join the Energy Demand Observatory and Laboratory (EDOL) at the Department of Engineering Science in central Oxford
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We are seeking to appoint a highly motivated Postdoctoral Researcher with expertise in innate immune responses to cancer, in vivo/in vitro experimental models, and advanced molecular techniques
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About the role Applications are invited for two Postdoctoral Research Associate positions in Chemical Biology to work under the supervision of Professor Yimon Aye for a period of up to 24 months
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analyses to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team of clinicians and scientists, they will help generate and interpret high-resolution datasets