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to international conferences/journals. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and
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the role) in Computer Science/Electronic and Electrical Engineering or a closely allied discipline, you will have a background in cloud technologies for communication systems, and in programming with
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to produce a world-leading data resource for menstrual health research. The post will include leading on all aspects of data science as part of this highly innovative and fast-paced project. The post holder
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development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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, genomic, imaging and digital pathology data for colorectal and other cancers. You'll collaborate with cloud and software engineering teams and the e-health hub team to implement OMOP/OHDSI-compliant
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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. • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. • Personal Development: Access
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contributes 14.5% of salary. • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls
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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