172 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:" positions at University of Nottingham
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their involvement across our degree programmes. We also have a large number of students choosing to undertake an industrial placement as part of their degree and have “with industrial year” variants across all of our
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Programme and Counselling Service- 24/7 support. - Supplier discounts, travel, and reward schemes. - Staff Networks, and wellbeing activities and state of the art sports facilities. - Uniform provide plus
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across epidemiology, building science, and exposure modelling — contributing to an ambitious international programme with direct policy relevance. Be part of a project that will influence how buildings
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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the first 4 years of the course. Additionally, you will assist in the further development the School’s programme of postgraduate training in clinical pathology. You will have a veterinary degree registrable
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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Gerada, the role holder will work with the academics, researchers and PhD students in managing and conducting research activities across the programme. Prior direct experience of successful PhD student
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Undergraduate BMBS and BSc programmes. You will deliver teaching and assessment, convene modules, supervise undergraduate projects, contribute to quality assurance and support the student experience. You will
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Graduate Entry and Undergraduate BMBS and BSc programmes. You will deliver teaching and assessment, convene modules, supervise undergraduate projects, contribute to quality assurance and support the student
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process simulation, techno-economic analysis (TEA), and life cycle assessment (LCA) methodologies Strong computational skills, including proven expertise in programming environments (e.g., Python, Matlab