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support the process of sha red learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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for a team player with exceptional communication skills who is enthusiastic about developing cutting-edge cardiotherapies whilst also supporting undergraduate and postgraduate student learning through
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have: a PhD or equivalent qualification (or be nearing completion thereof) in Materials Science/Engineering or another subject relevant to the study, development and/or application of nanostructured
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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a role model and fostering an inclusive working culture. Person Specification PhD, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine learning, climate science