384 machine-learning-"https:" "https:" "https:" "https:" "https:" Fellowship positions
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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optimization. Experience with quality-diversity methods is a plus. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | 3 months ago
), quantum information science (sensing and simulations), and artificial intelligence/machine learning. Research areas highlighted for 2026 include ATLAS, rare event searches with quantum sensors, DUNE
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Astrophysics Nuclear Physics High Energy Physics Data Science / Machine Learning (more...) Particle Physics Appl Deadline: 2025/11/30 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until 2025/12/31
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F250047 Posting Link https://www.ubjobs.buffalo.edu/postings/57076 Employer State Faculty Appointment Term Term Position Type UUP Faculty Posting Detail Information Fiscal Year 2024-2025 Position Summary
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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep
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teach one course per semester. These courses will be small innovative seminars of their design or a section of Science, Technology, and Governance in the geographical region of their specialty. We imagine