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the direction of the Principal Investigator, and in collaboration with the Principal Investigator, the Co-Investigator, and other project members. To contribute to the development of research objectives and
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. Ahmed Sayed. The main project (KUber) is, EPSRC-funded, aiming at building novel distributed architectures to facilitate the exchange and delivery of acquired knowledge among machine learning entities
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of the Principal Investigator or Grant-holder as well as briefings and reports for policy, practice and community audiences. To conduct individual and collaborative research projects under the direction
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audiences. To assist with the development of research objectives and proposals. To work with the Principal Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify
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principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry
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of Manchester, and is funded by a grant from the Economic and Social Research Council. We are looking for a highly motivated post-doctoral researcher to join our research team. Your main responsibilities will
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. The project involves the design and execution of research projects that find the application of main group molecular compounds and clusters as sustainable catalysts. Find out more about the Mehta research and
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interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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audiences. To assist with the development of research objectives and proposals. To work with the Principal Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify