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social care, and investigating the use of reasonable adjustments to reduce healthcare inequalities, and a novel Machine Learning workstream to develop an intervention which may be implemented in routine
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on the hiring manager’s preferences and should include things that can be learned or trained for. Preferred Schedule: Monday - Friday 8:00-5:00 Position Requirements: Specifications Appropriate experience may be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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. Assist in the mentorship of junior lab members ? Learn transferrable skills to become a successful PI Act as a subject matter expert for the team in DNAm, biomarkers of mental health risk, and statistical
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) empowers teams of William & Mary students and faculty to make a difference in the world. We are a multidisciplinary hub that applies scholarly research to real world problems, investing in outstanding
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atmospheric simulation chamber (AURA ), where advanced instrumentation is available, from oxidation of different precursor gases. Expected responsibilities & duties Build and develop methodologies for measuring
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field experiments, network effects, machine learning, or data analytics to contribute to ongoing research projects; Have advanced quantitative methods training and ability to work with one or more of the
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. Candidates with strong track records in tropical geometry, machine learning, and related areas are encouraged to apply. Applications are particularly welcome from women and minority ethnic candidates, who
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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software tools and products. Experience in writing scientific papers and successful