247 data "https:" "https:" "https:" "https:" "Inserm" positions at King's College London in United Kingdom
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, specifically in the Data Solutions team, which plays a pivotal role in delivering enterprise-wide data solutions. The team is at the forefront of modernising King’s data infrastructure, driving innovation
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groundbreaking symbiosis of cutting-edge AI combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is
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of the large-scale programme and associated projects of the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is part of a UKRI funded programme to create an innovative
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information on what criteria will be
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into new and improved ways of understanding and treating mental ill health (http://www.kcl.ac.uk/ioppn/ ). The research role is based in the Psychology Department, one of the world’s largest academic
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academic staff are organised across 7 Science Schools plus the Centre for Education. For more information please see the Faculty’s webpages: https://www.kcl.ac.uk/lsm/index About SUSTech SUSTech is a public
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academic staff are organised across 7 Science Schools plus the Centre for Education. For more information please see the Faculty’s webpages: https://www.kcl.ac.uk/lsm/index About SUSTech SUSTech is a public
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responsible to the Head of Department. More information about the Department, School and Faculty can be found on the King’s website: Department of Political Economy: http://www.kcl.ac.uk/sspp/departments
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central London in the School of Biomedical Engineering and Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the planned work