996 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" Fellowship research jobs in United States
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 5 days ago
, training in FDA regulatory processes, and instruction in clinical safety review. You will receive training in advanced statistical methods for safety signal detection, machine learning applications in
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to: Learning about aircraft systems engineering and systems analysis to support integrated design and performance assessment. Participating in aircraft design trade studies with a focus on propulsion–airframe
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
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 vision is to be
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | 12 days ago
extensive program is not computer-based learning and is led by the Clinical Educator for Perioperative Services. Position Qualification: BSN or ASN Current Registered Nurse licensure in Tennessee or new
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 5 days ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: This project applies artificial intelligence (AI) and machine learning (ML) to advance precision medicine by
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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healthcare data. * A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements * B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning
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conversational communication skills to effectively work with diverse groups Ability to learn new technologies, processes, and policies quickly Ability to work both independently and collaboratively in a dynamic
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research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling initiatives; Working with partner organizations or companies. Basic