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to work with modern massively-parallel simulation codes. Candidates must have (or be close to completion of) a PhD in astrophysics or a related subject, and a BSc/MPhys (or equivalent) degree in physics
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at the Institute of Genetics and Cancer. Informal enquiries may be directed to Dr Athina Spiliopoulou (A.Spiliopoulou@ed.ac.uk ). Your skills and attributes for success: PhD in machine learning, genetic epidemiology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus
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perturbations. Person Specification PhD (awarded or near completion) or equivalent experience in computational or mass spectrometry-based metabolomics, bioinformatics, or a related discipline. Informal enquiries
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sponsorship under UK Visas and Immigration legislation. About you The ideal candidate will hold a PhD or equivalent experience in a quantitative field relevant to the research focus, such as economics, data
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for this post have experience with qualitative research. For appointment on the grade 6 level, it is desirable that by the time the successful candidate starts working on this project, they would have a PhD in a
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candidate will have a PhD degree, or equivalent qualifications relevant to atmospheric science. Experience in offline chemical analysis, mass spectroscopic and advanced data analysis in atmospheric science is
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culture. Person Specification Possess a first degree in area of specialism Has obtained or is close to completing a higher degree (PhD) relevant to research area or equivalent qualifications Excellent
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members and will be required to travel in the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History
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interpretation of spectroscopic observations Analysing and interpreting research findings and results Publishing results and presenting them at conferences Role requirements include: PhD in astrophysics/astronomy