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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
Type: Postdoctoral Position Location: Cambridge, Massachusetts 02139-4307, United States of America [map ] Subject Area: Artificial Intelligence / AI for Social Research Appl Deadline: (posted 2025/09
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robotic tools at Ames National Laboratory and develop new methodologies on high-throughput experimentation or artificial intelligence-enabled self-driving labs. The successful candidate must be able
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Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial intelligence (ML/AI) techniques that incorporate
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systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and
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systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and
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, Tx Required 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
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-time academic or research career. The individual will work primarily on the Duke Predictive Model of Adolescent Mental Health (Duke-PMA) study, a multi-site NIH-funded project that leverages artificial
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of Artificial intelligence, machine learning, omics data integration, and drug discovery and maintain knowledge of literature related to the areas of research pursued Mentor and train junior team members Foster a
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models Experience in artificial intelligence to develop the algorithms for digital twins Experience with both qualitative and quantitative data analysis techniques Experience in cleaning and analyzing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales