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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical Machine Learning and AI methods, or applied mathematics, to solve challenging
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position will work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream
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, Cardiff, Edinburgh) to learn new methods and support activity around our challenge areas. You should be a self-motivated and ambitious researcher with a PhD in behavioral or social sciences. You will have
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statistics envisaged, and to ensuring that our new methods are sufficiently robust and efficient to be widely adopted by academics, industry and society more generally. This programme will be led by Idris
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-funded project that aims to develop sustainable, light-driven catalytic methods for upgrading simple molecular feedstocks into stereochemically enriched structures with high value for healthcare and
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systematic methods, e.g. Garritty, et al, 2021). All reviews will include international literature and will scope beyond current knowledge of dementia and employment to understand the potential lessons
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trusts involved in the study, contribute to data analysis, presentation of results and scientific dissemination. Candidates will have either an MSc or a PhD in research methodology, the allied health
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). You will also co-lead the production of academic papers and dissemination outputs. You will have completed a PhD in a relevant social science or humanities discipline (for example, Human Geography
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North West in the specialist registrar/specialty trainee grade or equivalent and an honorary contract with a relevant NHS Trust*. To be eligible, you must hold (or have submitted) your PhD/MD at the time
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environment for developing a career in polar research, and our group includes PhD students, post-doctoral researchers and more senior academics. Lancaster University has been named University of the Year 2018