143 computer-programmer-"the"-"IMPRS-ML"-"FEMTO-ST-institute"-"EURAXESS" positions at University of Sheffield
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extracts. Providing specialist support to a range of programmes, including the Yorkshire & Humber Secure Data Environment Providing time estimates of the work required to support proposed research projects
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Improvement UK Network (PHI-UK): https://www.gla.ac.uk/schools/healthwellbeing/research/mrccsosocialandpublichealthsciencesunit/programmes/systems-science/sipher/phi-ukpolicymodellingforhealth-introduction
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, transcriptomics arrays and serological assays will be exploited to investigate biomarkers in cultured cells (primary supervisor). Field work at the Malawi Liverpool Wellcome Trust Clinical Research Programme will
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expectations. Providing support to a range of programmes, including the Yorkshire & Humber Secure Data Environment Working with the Data Connect team to break down defined research projects into manageable tasks
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barrier physiology. Main duties and responsibilities Develop a quantitative multimodal neuroimaging method for tissue oxygenation analysis. Plan pulse sequences and acquisition parameters. Communicate
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panel. We plan to let candidates know if they have progressed to the selection stage on the week commencing 6th October 2025. If you need any support, equipment or adjustments to enable you to participate
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programme in this area at The University of Sheffield, led by the primary supervisor Dr Dan Geddes, and co-supervisor Dr Brant Walkley, in collaboration with Sellafield Ltd. and National Nuclear Laboratory
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£35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Work with the
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of such program could be done in case of it was necessary. For instance, for the linkage of new material models or certain numerical features such as a new finite element. This research will benefit from excellent
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Deadline: Applications accepted all year round Details The aim of this PhD programme is to develop efficient numerical strategies for the prediction and assessment of fracture. Our group has got success in