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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
, Sustainable Finance, and Twin Transition Apply for this job See advertisement About the positions Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and
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to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of the research project that will lead to the PhD degree. It is a condition that you
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for the start date to be delayed if needed, but the end date is fixed) Line manager Professor of Statistical Health Technology Assessment Direct reports N/A Our website https://www.sheffield.ac.uk/scharr
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that will support regulatory approval and market access. Requirements • Doctoral degree in computer science or statistics. • Commensurate experience (2 years) in clinical research. • Experience with
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Engineering . The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching (10%) and other
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training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program must
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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Based Dermatology (CEBD) which is part of the Unit of Lifespan and Population Health within the School of Medicine. Led by Professors Kim Thomas and Hywel Williams, CEBD has an international reputation
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previously been employed in a qualifying post (e.g. research fellow, research assistant). About the research training As a PhD Research Fellow, you must participate in an approved educational programme for a
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, particularly in areas of health science, materials science, and research on energy and environment. Our research group, the Center for Laser Sensing and Diagnostics, led by Professor Azer Yalin, is housed within