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beyond the Standard Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning
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visualizations, manuscripts, and conference presentations for dissemination of project results. Required Qualifications PhD in plant biology, genetics, genomics, bioinformatics, computational biology, or related
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solutions for problems both local and global. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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projects across multi-disciplinary programs at the UT Dallas. Candidates with a PhD in Communication Sciences and Disorders, Speech Language and Hearing Science and other related fields (e.g., Neuroscience
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++, or JavaScript Experience with AI or machine learning techniques, including large language models or agentic systems Experience developing or integrating interactive visualization systems, including web-based
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of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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experience with managing, processing, and analyzing large datasets and strong programming skills especially in Python. ● Experience working with transmission power flow and machine learning models. ● Strong
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency