364 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Nottingham
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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We are looking for an outstanding PhD student with either strong background in computational modelling or significant experience of laboratory work, who is keen to work at the interface between
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allowance 27 days (pro rota), plus additional university closure days and bank holidays. Employee Assistance Programme/Counselling Service- 24/7 support. Staff development/provision of training, continued
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
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the University’s zero carbon research strategic programme? We are seeking 2 passionate and dedicated Senior Administrators to support the efficient and organised functioning of zero carbon engineering projects
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Rationalisation project of the Reshaping Our Estate programme. You will be responsible for the day-to-day management of the programme and will focus on embedding outcomes and benefits, while managing delivery
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical