342 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Nottingham
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the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the
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for Additive Manufacturing research group (CfAM). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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Taught (PGT) Programmes Team, part of the Education Centre within the School of Medicine. The role plays a key part in ensuring the effective delivery of the School’s PGT portfolio, combining programme
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. Summary This programme of research builds on our previous studies where we identified genes we believe mediate pain and inflammation in the joints of patients with osteoarthritis. The aim of the current
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competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
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lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the successful candidate will need to be flexible and confident to lead a
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non-conventional electrophysical and laser-based manufacturing processes for the restoration and remanufacturing of aerospace gas turbine components. The project will: Investigate fundamental process
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direction to enhance impact, recruitment, and engagement. This will include supporting the RAPID Eczema Trials programme; a National Institute for Health and Care Research (NIHR) funded applied research
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the future of energy for homes in the UK. Aim You will have the opportunity develop an innovative EMS design solves existing challenges. This new architecture will reduce costs, minimise physical footprint