61 phd-rehabilitation-engineering-computer-science Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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university, while collaborating with national and international partners across the Missed Vital Sign programme. You will have a PhD (or equivalent professional qualification and experience) in biomedical
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professional development, exploring new tools and methods relevant to clinical trial applications. About You The successful candidate must have a PhD in Bioinformatics, Computational Biology, or a closely
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must have a PhD in Bioinformatics, Computational Biology, or a closely related field (or be nearing completion of their qualification). You will have demonstrable experience in programming with R and a
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translation and commercial readiness of our AI-informed digital tool for use in NHS and social care. This includes contributing to early work aligned with the Digital Technology Assessment Criteria (DTAC
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laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with experiences in High Voltage Engineering, or equivalent
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will involve close collaboration with the California Institute of Technology (Caltech) and inter-institute visits to drive the project forward and translate our research into tangible innovations
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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health or computer science). Successful applicants will have demonstrated their ability to work independently and efficiently in a research context and will have excellent written English skills with
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in aircraft systems. Through close collaboration with industry partners, this research will guide sustainable technology strategies, addressing key cost/benefit challenges through 2030 and 2050. Role
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PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science). Successful