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Field
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to study health and disease. Accordingly, almost all of contemporary biological science research is critically dependent on our ability to identify which genes are related in different species. The Kelly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Summary This position will work with UNC faculty on research related to market access and health informatics while also working with staff at AESARA. Minimum Education and Experience Requirements PharmD
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with innovative modeling methods and data analytics methods and spur cross-discipline development between the team in both water resources and computer science. Specifically, the research projects
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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Qualifications MINIMUM QUALIFICATIONS: PhD (or equivalent) in biology, bioengineering, computer science, physics, or a related field Strong scientific curiosity, motivation, and rigor Strong communication
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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/ Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The Center for Innovation in Brain Science (CIBS) is seeking a research scientist to lead and implement data-driven
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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing
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The hiring range for this position is expected to be $78,000 – 83,000 per year A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your