43 data "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" research jobs at King's College London
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Maudsley Centre for Children and Young People: https://www.kcl.ac.uk/research/pears-maudsley-centre which will offer ample of opportunity to collaborate with academics, clinicians and lived experience
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scientists and clinicians from across the School and King’s College London. More information: https://www.kcl.ac.uk/scmms About The Role Applications are invited for a talented and enthusiastic postdoctoral
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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 groupings of clinical and health psychologists. It is
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community?’, and ‘How have you contributed to broader society?’ See here for more information about these questions: https://royalsociety.org/topics-policy/projects/research-culture/tools-for-support/resume
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telephone or video call) following enrolment, maintaining accurate study records and databases, and liaising with site teams to coordinate data collection and follow-up activities. The post holder(s) will
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efficiently, reliably and to a high technical standard. The primary purpose of the role is to provide skilled laboratory support across the project, generating high-quality data in molecular biology and cell
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, including but not limited to screening and enrolling new participants, scheduling and conducting trial visits, collecting research data in line with study protocols, entry of research data into an online
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Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in Pharmacology or other
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an exciting opportunity for a Postdoctoral Research Associate to join their dynamic, interdisciplinary team to shape how multimodal bioimaging data is stored, shared and reused. The Parsons Group is based in
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health. The post holder will develop innovative AI techniques approaches applied to oral healthcare, with a particular focus on Large Language Model-based multimodal data understanding and reasoning