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Field
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at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
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Perinatal Epidemiology Unit) and funded by the National Institute for Health and Care Research (NIHR). The project aims to improve maternal outcomes and decrease inequalities by finding better ways
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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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-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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academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission-driven
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning to climate, health, and environmental challenges. Strong candidates will have experience in ML algorithms, human
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Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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or more of chemistry, physics, mathematics, statistics and/or computer science. - Familiarity with one or more AI/ML software packages. Familiarity with relevant, domain-specific software packages
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in a Box (XB) is a core platform to facilitate guided self-experimentation in healthful practices with a Minimal Data Dose approach. How to offer these experiments with minimal human support is one