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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 are an interdisciplinary group focused on conducting innovative research to address the health...
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Applications are invited for a research fellow to join the Integrated Clinical-Computational Affective Research Unit, led by Dr Liam Mason (Associate Professor of Clinical Psychology and MRC
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subject who have the ability to lead an exciting, innovative and fundable research programme. The applicant would typically have at least 3 years of post-doctoral experience and may already have experience
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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language data taken from multiple sources: ongoing fieldwork, previous studies, text corpora and newly-generated reconstructions, as well as well as the results of computational simulations and artificial
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Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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taking forward an ambitious programme of qualitative community research and engagement based on the principles of co-production. Key features of the role include: Leading on the co-design and co-delivery
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Overview The Sheffield Centre for Health and Related Research (SCHARR) are recruiting a researcher with a strong background in causal inference and interest in health technology assessment (HTA