393 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" 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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13th October 2025. This will consist of an interview and presentation. We plan to let candidates know if they have progressed to the selection stage on the week commencing 6th October 2025. If you need
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year in industry as part of their engineering studies. They will support the AMRC North West low carbon team to deliver a range of research projects, commercial contracts and business support programmes
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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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goals are met Plan and manage your own workload, with guidance from colleagues as required. Carry out other duties, commensurate with the grade and remit of the post Person Specification Our diverse
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the recruitment process It is anticipated that the selection process will take place mid November 2025. This will consist of Portfolio review and Interview. We plan to let candidates know if they have progressed
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of a technical activity. We plan to let candidates know if they have progressed to the selection stage on the week commencing August 2025. Contact Emma Kenny-Levick, e.l.kenny-levick@sheffield.ac.uk
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/smph For informal enquiries about this job contact Viren Ranawana at v.ranawana@sheffield.ac.uk Next steps in the recruitment process We plan to let candidates know if they have progressed
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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