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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD
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Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
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This is an opportunity for a knowledgeable and creative individual to be part of a team using artificial intelligence and high-performance computing to evaluate the state of health (SOH
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 7 days ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Artificial Intelligence, Machine Learning and Autonomy Data Science Artificial Intelligence Astronomy / Astronomy and
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) community-engaged research methodologies; (6) program or policy evaluation; and/or (7) implementation and dissemination. Ample opportunities exist to develop an independent program of research in one or more
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science, applied mathematics, computer science, or an AI related field completed within
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization