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experience in microbiome research sequencing is preferred. Experience with statistical analysis and data visualization, and with using a computational cluster including job scheduling is required. A strong
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, Computer Science, Engineering, Experimental Psychology, Mathematics, Medical Sciences, Natural Sciences, and Veterinary Sciences. Normally tenable for three years from 1 October 2026, the Fellowship is open to
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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, and collaborative projects. You should have a masters degree or equivalent in Neuroscience, Computer Science, Mathematics, Biomedical Engineering, or a related discipline with a focus on machine
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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope
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observational astrophysics. You will also have a record of submitting/publishing scientific research in leading astronomical journals, experience with scientific computing/scripting tasks and experience
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Assistant Develop a detailed plan for the biodiversity work package, including specification of the target organism(s), processes and pollutants Develop the methodology for the biodiversity work package of
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understanding of the discipline. Role Summary Initiate and conduct original research which has measurable outcomes and is reflected in a growing national and often incipient international reputation Plan, design
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that are key to growth and progression of ovarian carcinoma and that may be therapeutic targets. The postholder will carry out research programmes investigating the role of specific mutations of driving innate