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Field
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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Dining Services (7) Ophthalmology (7) Biomed Informatics Biostat EPI (6) Medicine-Cardiology (6) Molec Microbio & Immunology (6) Pediatrics-Neonatology (6) Pediatrics-Neurology (6) Plan Administration (6
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of Informatics, Uni-versity of Oslo, and will be part of a growing research agenda at the intersection of epidemiology, statistical modeling, machine learning and public health data systems. The project aligns
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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of digital health innovation within an experienced multidisciplinary team. We are looking for a candidate with strong expertise in medical imaging and AI applications in healthcare. This is a full-time post
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Required Department Minimum Qualifications: Ph.D. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start
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-Computer Interaction, Health Informatics, Data Science, or a related field. • Demonstrated experience in the design and evaluation of digital health or mHealth interventions, ideally involving real-time data
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couples’ housing trajectories in the UK and to project future homeownership rates. The successful applicant will have a PhD in a social science discipline (including statistics, computer science and applied
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have been archived or otherwise transmitted to the larger organization. Qualifications § A Ph.D degree in Chemistry, Physics, Mathematics, Computer Science, Data Science, or a related field. Â