10 data-science-phd "The University of Auckland" Fellowship research jobs at King's College London in United Kingdom
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health or social sciences or similar PhD in health or social sciences or similar (for Research Associate)* Relevant research (e.g. applied health research, palliative care) experience – in particular
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care costs (for a dependent child or adult) incurred as a result of attending an interview for this position. For further information about the Department of Informatics at King’s, please see https
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. Specifically, this post-holder will compare rates and reports of anxiety and depression diagnoses in linked health records in TEDS to twin-reported information provided at age 26. They will then move
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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responsibilities Lead on project set-up under the supervision of the PI Lead the ethnographic research in participating maternity and neonatal units Analyse ethnographic data using qualitative data analysis software
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Job id: 089405. Salary: £62,696 - £64,421 per annum, including London Weighting Allowance. Posted: 10 May 2024. Closing date: 14 May 2024. Business unit: Faculty of Life Sciences & Medicine
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. We are a multi-faculty institution, providing high-quality teaching, research and innovation across the sciences, humanities, medicine, law, dentistry, and social sciences. As a member of the Russell
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Sciences & Medicine. Department: Comprehensive Cancer Centre. Contact details:Prof Anita Grigoriadis. [email protected] Location: Guy's Campus. Category: Research. Job description We are seeking
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and St Mary’s Hospital). The post holder has the opportunity to get involved in all aspects of the study, including subject recruitment and collection of clinical and other data on patients. Training in
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barriers to this goal. This work package will involve the commissioning of an independent review of KCL promotion and retention processes, and analysis of survey data from the 2023 KCL All Staff Survey. WP2