137 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" PhD research jobs in United States
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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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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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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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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 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 | 1 day 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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; 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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the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
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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
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
expose the successful candidate to cutting-edge genome editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid nanoparticles. The successful candidate will also learn