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The University of Oxford’s Rothermere American Institute and the University of Missouri’s Kinder Institute welcome applications from candidates with expertise in American political development; political thought or intellectual history with a US focus; comparative politics (including the USA);...
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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Post-Doctoral Data Science Research Fellow Oxford Centre for Diabetes Endocrinology and Metabolism (OCDEM), Churchill Hospital, Old Road, Headington, Oxford, OX3 7LE Grade 8: £48,235 - £55,636 per
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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of healthy aging using cutting-edge single-cell and AI-based tools, as well as population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell
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Framework (REF). This is a developmental role, ideal for someone looking to build experience in project coordination and data analysis in a supportive environment. As the REF and Athena SWAN Projects Officer
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organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
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adheres to regulatory and ethical requirements pertaining to the collection, management and storage of clinical research data. Your work will ensure that all OBB records are appropriately stored and managed