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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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solvents. It is essential for the candidate to hold a PhD (or equivalent) in chemical engineering or related branch of engineering. The successful candidate will have a background in process design and
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equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams, in medical statistics and in the analysis of large healthcare datasets (such as CPRD
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monitoring, reporting and verification; and development of data and analysis products for clients. All of these elements will involve client and sector engagement. About You You will have a PhD in the relevant
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages
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common complex human genetic diseases using genomics and other omics data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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information on both roles. About You Candidates must have an Undergraduate Degree in health data science or similar field. Applicants at the PDRA level must have a PhD (or close to completion) or research
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Research Council (now UKRI Frontier) grant “Age-Enabled Exoplanet Science”. The successful candidate will work on determining the timescales and relative roles of key evolutionary processes in sculpting
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for educational and psychological research, policy and practice. About You A successful applicant should have, or expect to soon receive, a PhD in psychology, economics, epidemiology, or statistics. The post-holder