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their firm level commercialisation outcomes with a focus on Europe. The research conducted by this Fellow will benefit from new computational techniques and data sources and from being in CEENRG, a major
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD
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successful appointee will be centrally involved in the delivery of the ARIA-funded Forecasting Tipping Points programme , and will work collaboratively with Professor Doug Benn (University of St Andrews) and
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University of Hull. The successful candidate should have: PhD degree (or close to completion) in materials science and engineering, manufacturing or other suitable engineering disciplines. Research experience
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to appoint a Research Fellow to support world class research and development activities on SiGe epitaxial materials for realization of quantum computer processor. Quantum computers promise to be one
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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computational modelling to investigate a wide range of questions in the UK and overseas. What we are looking for: PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease
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that the structural models use high-fidelity aerodynamic data to compute the aerodynamic loads and inform the overall system design. About You You will hold a PhD (or close to completion) in aerospace engineering
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of the research group, including mutual assistance with research activities, and with external partners outside University of Hull. The successful candidate should have: PhD degree (or close to completion) in