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and classifying material, and visualization methods. Candidates should possess a PhD in a field relevant to the interface of energy technology, economics, data science and public policy. Please see the
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(or be about to obtain) a PhD in a relevant area. The ability to work both as part of a team, and independently, coupled with excellent communication, organisational and problem-solving skills are required
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an associated Masters, or ideally PhD, qualification. - Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. - Experience in
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through its research outputs, including publishing impactful research in internationally recognised Finance journals as well as placing its PhD graduates in academic careers. The ideal candidates will have
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. They will use this knowledge to develop strategies to engineer expression in plants, seeking to optimise yields from metabolic pathways. Key skills The successful candidate must have a PhD in molecular or
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external research funding and supervision of PhD students to completion. The appointee will also have the ability to manage and develop effective working relationships with research staff and display a
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teaching though that is not essential (two sides of A4). Informal enquiries can be made to the Master’s PA, Debbie Brown, at Selection Criteria Applicants must 1. have been awarded their PhD at the time of