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Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
positions in deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new AI algorithms and models, motivated by biological research in
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty
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by the Department of Energy (DOE). The incumbent will develop a fast-paced AI/ML program strategically aligned with DOE and other Federal Agency goals, ensuring that the research program advances and
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Research Scientist/Engineer 3 who will serves as a critical bridge between advanced algorithm development and OCT imaging system implementation, enabling the integration, optimization, and translation
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achievement and the ability to develop a program of research and creative practice recognized nationally and internationally. The candidate should demonstrate expertise in one or more areas of digital art
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Department Office of Responsible AI Department Website Link https://responsibleai.arizona.edu/ORAI Location Tucson Campus Address Tucson, AZ USA Position Highlights The Office of Responsible AI (ORAI
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programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens