130 computational-physics "https:" "https:" "https:" positions at University of Sheffield in United Kingdom
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the decision support process. However, these stakeholder preferences may or may not align with the social preferences that members of the public hold. Furthermore, there is often resistance from policy actor
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development and environmental engineering is essential. Experience in life cycle assessment, carbon accounting, process modelling, or renewable feedstock processing would be advantageous. Required
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Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Cardiology clinical academic training programme led by the Training Programme
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Overview Applications are invited for the post of Programme Manager to lead operational delivery of the EPICGB Programme – Early Phase Interventions Centre for Translation in Glioblastoma, a
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, delivered across the CDT partner universities. For further information about the CDT programme, please visit the CDT website at https://www.fusion-engineering-cdt.ac.uk/training-fusioneers/programme/ or send
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Training Our website https://sheffield.ac.uk/health/study/clinical-training For informal enquiries about this job contact Professor Nils Krone on n.krone@sheffield.ac.uk Next steps in the recruitment process
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undertaking research whilst pursuing further training. It offers the opportunity to combine clinical training in infectious diseases with a programme of post-doctoral research, providing 50% clinical and 50
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: https://www.sheffield.ac.uk/hpdh Next steps in the recruitment process It is anticipated that the selection process will take place in June 2026 - full details will be shared with the shortlisted
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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. The successful candidate will take forward their own programme of transformative research in the engineering and applications of novel biomedical sensing technologies that are underpinned by state-of-the art