57 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions at University of Leicester
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About the role We are seeking a Teaching Fellow in Engineering Mathematics and Computational Methods to support in the delivery of our education programme in the School of Engineering. The School
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About the role The National Institute for Health and Care Research (NIHR) Research Support Service (RSS) is seeking to appoint a Principal Advisor in Qualitative Methods and Workstream Lead. As a
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About the role In this role based within the Leicester Cancer Research Centre, you will spearhead the bioinformatics and computational biology dimensions of an innovative Cancer Research Horizons
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About the role This is an exciting opportunity to join the School of Healthcare at the University of Leicester as a Lecturer in Physiotherapy, contributing to a unique dual award programme delivered
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About the role The National Institute of Health Research (NIHR) is the nation’s largest funder of health and care research and Leicester is home to the Leicester Diabetes Centre, one of the leading NIHR research centres. We are looking recruit a NIHR Programmes Administrator...
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About the role We are looking for a motivated and talented Research Associate to join the Leicester Lifestyle and Health Research Group (LLHRG) and contribute to our innovative programme of
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research team to achieve defined milestones and produce high quality research as part of the wider programme. About you You will hold (or be close to completing) a PhD in a relevant discipline and bring
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team and contribute to a programme of work led by Prof Pratik Choudhary around type 1 diabetes and technology. The appointed individual will have the opportunity to contribute to the real-world evidence
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collaboration. Your expertise spans compressible aerodynamics, powder technology, computer-based optimisation, and numerical modelling—making you ideally suited to tackle complex challenges in advanced
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intelligence, or numerical methods for climate systems, and be confident in using tools such as Python or MATLAB. Additional information For informal enquiries, please contact Professor Valerio Lucarini