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Field
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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indices. Assists in the compilation and distribution of reports related to research findings. Preparing childcare and supervising/playing with children at all times during the workshops Sets up and cleans
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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed. The Doctoral
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You will be working in a larger research and development project in parallel, distributed and heterogeneous computing. The project work can, under certain circumstances, be combined with an internal
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
-
to optimize fluid flow, heat transfer, and current distribution within the electrolyzer. • Model key parameters such as overpotential, gas diffusion, ion transport, and pressure drop to improve overall
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precisely monitor changes in the global distribution of CO₂ sources and sinks. The UK science lead for MicroCarb is at the University of Edinburgh so this opportunity is a valuable opportunity to gain a deep