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operation, aligned with financial and operational incentives. The ideal candidate will have: A PhD in Computer Science or a related field Experience in developing and evaluating reinforcement learning systems
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leadership of their own research programme. The ideal candidate will have the following qualifications and attributes: A PhD in mathematics, theoretical physics, or a closely related discipline (or expected
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opportunity to gain experience towards achieving research independence. About you The ideal candidate will hold a PhD in experimental (quantum) physics or a closely allied discipline. Possess strong skills in
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supervise Postgraduate and Masters project students. All new compounds will be analysed by a combination of multinuclear NMR spectroscopy, X-ray diffraction analysis and mass spectrometry. Completion of a PhD
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economic and financial analysis of climate risks to identify robust adaptation options and priorities. The ideal candidate will have a PhD in climate economics and some knowledge of climate finance in
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, including leading on meetings. You will also acquire new skills in strategic leadership that can help to super-charge your career. The ideal candidate will have PhD in Mechanical, Electromechanical
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to carry out the role to a high level. Hold a PhD in Politics in the area of IPE or closely allied discipline. Further information For an informal discussion relating to this vacancy, please contact Dr David
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-doctoral position you will work on the development of membranes for resource recovery, particularly critical minerals and metals from liquid waste sources. You will have a PhD in Chemical Engineering
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innovation in sustainability and climate change. The Institute currently involves around 80 academics, a cohort of 70 PhD students, and a research income of more than £25M. We are seeking to appoint
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first degree in an Engineering or Engineering-related subject and a PhD with appropriate content. Proven experience of experimentation and FEA modelling. Experience in some of the following areas will be