148 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in United States
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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. Further Info: https://www.ura-hq.org/awards/ura-early-career-award/ Or contact the Chair of the URA Early Career Award Committee, André de Gouvêa 847 467 6462. Nomination Materials Required: Submit
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Functions Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets Modeling plant growth, carbon allocation, stress response (e.g
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional
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models to characterize agricultural and ecological systems; Experience in applying advanced Artificial Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in
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; to perform innovative and groundbreaking research in its related sub-disciplines; to promote and inspire discovery and learning that enhances patient care; and to contribute to the translation of scientific
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working at Rutgers University More Jobs from This Employer https://main.hercjobs.org/jobs/22085796/post-doc-associate-carman-feb-2026 Return to Search Results
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, Professor Position Number 600237 Vacancy Open to All Candidates Department EHH BSOM Physiology Department Homepage https://physiology.ecu.edu/ Advertising Department PHYSIOLOGY Division ECU Health/BSOM
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to undergraduate learning through research experiential courses (ENTM 39300 Insect Biology Practicum and ENTM 49300 Insect Biology Capstone), and training and mentorship of graduate students, postdoctoral and