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Field
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and supervision of research students, primarily at the undergraduate level. You may be a great fit if: You are a dedicated researcher with a PhD in forest ecology or a related field, possessing strong
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@ed.ac.uk ). Your skills and attributes for success: A medical degree in any discipline with full GMC registration. Sufficient research experience to embark on a programme of PhD research (masters
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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partners both in the UK and internationally, joining a supportive group of researchers within the wider research group, the School, and across the University of Southampton. To succeed, you will need a PhD
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills