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to have an established track record in training the next generation of scientists with success in supervising PhD students to completion. The post holder will be expected to contribute to the teaching in
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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and conferences, as necessary To co-supervise MSc and PhD students Willingness to work out of normal working hours (including weekends) if the requirements of the project demand To contribute
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research projects. You should have a PhD in relevant disciplines. The post is available for 18 months at 0.5 FTE. To support flexible working arrangements, the terms of the post may be negotiated to offer
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environment. We’re looking for an individual that has (or is soon to receive) a PhD in a statistical subject (equivalently, for candidates without a PhD, a period of relevant research experience together with a
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that utilise strong light-matter coupling. Educated to PhD level in chemistry, physics or materials science (or with equivalent experience), you will have experience of surface-initiated polymerisation
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, other employees, students or members of the public. ABOUT YOU A Bachelor’s degree in a relevant subject area. A Masters’ qualification is desirable Candidates holding a PhD will be particularly welcomed
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to drive and support projects, co-lead collaborative teams, and engage in co-supervision of Master and PhD level students. We are looking for candidates who can thrive in this dynamic and creative
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, the Department and the College To provide guidance to PhD Students Contribute to bids for research grants To conduct and plan own scientific work with appropriate supervision. To maintain highly organised and
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with investment from Research England in 2019. We are a thriving community of over thirty members, from PhD students to professors, and our research is innovative, applied, interdisciplinary and