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initiatives, and Cotutelle (Dual Doctorate) programmes in partnership with international universities. The BDC coordinates all centrally funded PhD scholarships at the University and engages with a number of
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opportunity to make a major impact on future RF device technology. Applicants should have postgraduate (PhD) experience in Physics, Materials Science or Engineering, with a good publication record. The position
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). Please also provide information for two referees (this does not have to be your PhD supervisor but should be able to talk directly to your research). The position will involve working with machine learning
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on the effects of ART on cardiovascular and neurological heath. Contribute to analytical methods development. Contribute to supervision of PhD students. Colaborate with local, national and international
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; depending on the number of years of post-PhD R&D experience, and how well your skills and experience align to the requirements of our current suite of research projects. There are opportunities to work
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structures. 3D print to generate bio-based and sustainable metamaterial architectures with programmable memory via learning/adaptive behaviours. You have, or are expected to receive a PhD in biochemistry
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of, a PhD in a subject area relevant to the post. You have experience of teaching in undergraduate and postgraduate settings, for example tutorials, seminars, workshops, lectures, fieldtrips, project
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be asked to carry out cover for other minor teaching activities, as appropriate. You have completed, or are nearing completion of, a PhD in a relevant subject-area. You have recent experience
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and current work alongside plans for the future (research statement no more than 3 pages). Please also provide information for two referees (this does not have to be your PhD supervisor but should be
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a PhD in Economics, with a specialisation in microeconometrics and causal inference. You also have experience in software and web platform development. For informal queries please contact Dr Sami