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allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type: Research Job reference: Q07290 Faculty of Health and Life Sciences This new full-time post is immediately
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration into the broader CHILDs team. This is an outstanding opportunity to develop a
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skills and experience: Essential criteria Upper second or first degree (BA, BSc or equivalent) and PhD in behavioural, social, management or health sciences, or in a discipline with a health-related
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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
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation for environmental monitoring and management in