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quantifying antimicrobial sensitivity plus the use of in vitro virulence factor bioassays. Candidates must hold a PhD (or close to completion) in Microbiology or relevant subject area. This full-time (36.25
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proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including machine learning, data science, mathematics or a computational science), or a postgraduate
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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provide guidance to MSc and PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Person
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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training of research students at undergraduate and potentially graduate levels. You may be a great fit if: You are a dedicated researcher with a PhD (or near completion) in agriculture, agricultural science
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diversity, acting as a role model and contributing to an inclusive culture Person Specification First degree and normally a higher degree (e.g., MSc, PhD or near to completion) in a relevant field such as
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disparities, advancing interdisciplinary research and practice for sustainable and equitable economic models, and emphasizing policy’s role in mitigating adverse outcomes. With a PhD in a relevant discipline
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Undergraduate, Post Graduate Taught and Post Graduate Research (PGR) PhD and M.Res. levels aligned to a range of research activities. The GSA is an environment in which difference is encouraged and diversity