131 programming-"https:"-"https:"-"https:"-"BioData" positions at University of Nottingham
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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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. 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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. The team is currently made up of 9 APM staff, supporting the delivery and continuous improvement of clinical assessments across the undergraduate medical programme. The team oversees large-scale practical
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with substantial research experience will be highly advantageous. Experience in computer programming will be essential. Studentships are open to home students only. The deadline to have completed and
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provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme
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capabilities including an ability to research information sources The ability to work independently and use own initiative and judgement The ability to prioritise individual elements of a programme whilst
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, sensor-based measurements or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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skeletal muscle metabolism. The post holder will be responsible for the day-to-day running of this programme of work as part of Prof Tsintzas’ research team in the Division of Physiology, Pharmacology and
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Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)” Programme Grant. The NEED2D project funds a team of UK scientists at Queen