33 computer-programmer-"https:"-"https:"-"https:"-"https:"-"U.S" research jobs at King's College London
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About The Role The Senior Research Fellow will be required to develop and lead a research programme in the DCC that complements and builds on the existing research portfolio through the acquisition
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. The post-holder will be a key researcher within a high-profile programme for children and young people attending the UK Gender Services because of gender incongruence. PATHWAYS is a research programme with
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programme. As a world-leading, top-40 global university, King's College London offers an exceptional, multi-disciplinary environment for doctoral research. Representing the network's "Ethics & Society" focus
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a randomised controlled trial that will explore the acceptability of a new virtual reality (VR) communication training programme for family carers of people living with a severe mental health
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of maintaining quality standards within a highly structured laboratory unit. About The Role The Senior Research Fellow will be required to develop and lead a research programme in the DCC that complements and
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a randomised controlled trial that will explore the acceptability of a new virtual reality (VR) communication training programme for family carers of people living with a severe mental health
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development of the research programme and to lead and contribute to high-quality research outputs, including peer-reviewed publications and presentations at national and international conferences. They will
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About us: This post is one of several new appointments in the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create
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. The Wellcome Bioimaging project to accelerate cutting-edge bioimaging technology development, is a five-year cross-disciplinary programme, led by Professor Maddy Parsons from the School of Basic & Medical
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collaboration with Prof Yulan He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the