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station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration
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, test, and scale transformation in the age of AI and digital disruption. CBIT was founded by the team behind the UK’s top-ranked Entrepreneurship Education Programme (Eduniversal) and has an outstanding
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of Plymouth's NIHR-funded Mental Health Research Group (MHRG) and help shape an exciting programme of community-based mental health research in Devonport, Plymouth. Working at the heart of a vibrant local
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activities that support the successful delivery of the research programme. About the person: Applicants should normally have, or be about to obtain, a PhD in theoretical physics, with a PhD in theoretical
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contribute to an exciting programme of embedded research while helping to build the future of mental health research in the South West and beyond. About the role: You will: Be focusing on how to better capture
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. This fellowship offers a personalised retraining and reskilling programme for the successful applicant. Applications are now being invited for part-time flexible fellowships at Durham University. These could be
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million UKRI-funded national programme spanning 28 UK universities and over 150 partner organisations across academia, industry, government and civil society. RAi UK is one of the largest responsible AI
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Products) as part of the Sheffield Oncology Clinical Trials Infrastructure Programme (SOCTIP). You will work closely with the CTRU Academic Lead for Oncology, CTRU staff and Chief Investigators to secure
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programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
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multidisciplinary and multicultural team. · Ability to devise, advise on and manage a research programme. · A consistent track record of high-quality peer reviewed publications in cardiac electrophysiology modelling