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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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abilities, with a demonstrated capacity to interpret complex information and provide clear, pragmatic advice. The role requires sound judgment, tact, and discretion in handling sensitive matters, as well as a
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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. This will involve analyzing sequence data from bacterial isolates collected during a clinical trial combined and from large scale lab evolution experiments. The postholder will work as part of a large team
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use computational approaches to mine natural biodiversity in gene sequences to identify engineering targets to increase lipid content and enhance the water use efficiency. The project will make use
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programming skills for data analysis. Excellent organisational and communication skills as well as ability to work as part of a team are essential. This is a fixed-term appointment available for 1 year. If you
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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you’ll be part of a dynamic team working at the intersection