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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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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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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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Criteria Applicants must 1. have been awarded their PhD at the time of application. 2. be in an established post-doctoral position normally within the University. 3. have a history of academic excellence