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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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of senior researchers and will perform research necessary to fulfil the objectives of the Project Identification of therapeutic targets in MNX1-rearranged infant Acute Myeloid Leukaemia, externally sponsored
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audiences (assessed at: application and interview) Experience in working collaboratively across a team (assessed at: application and interview) A commitment to high standards of integrity, consistent with
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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experience required to perform the role will include a good working knowledge of fluid mechanics and compressible flow. It will be helpful to have a working knowledge of multi-phase flows in particular
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer
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the Clean Energy Processes (CEP) Laboratory . The CEP team conducts research on fundamental aspects of thermodynamics, fluid flow, heat and mass transfer processes with applications to the development
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technological change. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high-impact questions in environmental economics and innovation. Key
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individually, make a real difference. The role The Computer Science Research Centre at the University of Surrey is seeking to recruit a research assistant in the field of applied cryptography and secure systems