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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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). Outstanding organisational and record-keeping skills and a capacity to work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer skills and proficient in the use of applications such as
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We are seeking a full-time Postdoctoral Research Assistant to join the Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by Toyota Motor Europe and is fixed-term to the 28th Feb 2027. There has been massive recent interest and efforts into systematic...
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying