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on healthcare data. - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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technologies, including generative AI, large language models, and intelligent tutoring systems; conducting learning analytics, educational data mining, and implementation research; supporting teacher
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program Vacancy ID PDS004947 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North
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national Scientific Society meetings. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses N/A Computer Skills General office
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Application Materials A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3) professional references is required to apply. Important
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research university with significant strengths in cybersecurity, artificial intelligence, quantum science, computational and data sciences, national security, and interdisciplinary research. This position
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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teams. Ensures adherence to ethical guidelines for the use of patient data in research and development. Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to
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computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence methods applied