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Field
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environments Design and implement reinforcement learning algorithms for control and manipulation, first in simulation and later on real experimental setups Refine a real-time planning and execution architecture
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-1000 design and construction tasks. We are especially interested in candidates who would, as part of their research program, develop machine learning methods for LEGEND simulations and analysis.The
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in the preparation and review of the HAA multi-year program plan. Support national and international community engagement to take full advantage of Canada’s investments in international (SKA, ALMA) and
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
& robotics, comprehensive pharmaceutical care and clinical services. Required Qualifications Must be a graduate or candidate of an Accreditation Council for Pharmacy Education (ACPE) accredited degree program
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, Master's Degree, or Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences
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of Auckland students. External funding opportunities PhD candidates are invited to apply for the 2026-27 ACSPRI Fellowship Program. Valued at $25,000, the fellowship will help PhD students to achieve
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in a timely fashion is a must. Attention to detail is critical. Computer experience and the physical ability to lift and carry materials up to 25 kg are required. Performing other related duties as
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description INFANT Research Centre is now accepting applications
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for student-athletes’ academic, athletic and personal development. The highly visible athletics program is committed to NCAA compliance, comprehensive excellence and to be trustworthy stewards
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will