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everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively
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project, with demonstrable experience and sufficient specialist knowledge in public health, planning and/or environment-related policy and decision making to contribute to the Groundswell programme
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group focused on conducting innovative research to address the health...
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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September 2025. The position comes with an allowance to cover international travel and computing. The successful applicant will work primarily with Dr Anjali Piette and Dr Guy Davies. The project will include
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and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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for a fixed term up to end of June 2028, ideally starting in September 2025. The position comes with an allowance to cover international travel and computing. Role Summary We are seeking to appoint
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in
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and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing