216 computer-"https:" "https:" "https:" "https:" positions at University of Sheffield
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Overview An exciting opportunity has arisen for a highly motivated clinical trainee with a background in data science, to join our Motor Neurone Disease/Neurodegeneration clinical research programme
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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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here . Main duties and responsibilities Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify
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Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research
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implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research proposals for funding bodies. Conduct and disseminate
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Research Determine research objectives, and initiate and implement a programme of research that enhances the international standing of the School. Identify appropriate sources of funding and prepare research
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-ray computed Tomography. Essential Application/interview Knowledge of electrode and battery cell testing and electrochemical characterization techniques. Desirable Application/interview Excellent oral
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computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
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(pro-rata) Work arrangement Part-time Duration 01/02/2026 - 30/09/2026 (flexible upon discussion with successful candidate) Line manager Principal Investigator Direct reports None Our website https
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training in molecular plant-microbe interactions, epigenomics, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformation, and high-throughput