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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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factors. Current Georgetown Employees: If you currently work at Georgetown University, please exit this website and login to GMS (gms.georgetown.edu ) using your Net ID and password. Then select the Career
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genetics training, is preferred. LMB has a collaborative working culture and state-of-the-art building on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
UNH’s cooperative extension program through training, outreach, and education. Percent of Time: 10% Responsibilities also include building partnerships with natural resource professionals and
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care and improve outcomes for this devastating disease. Our aim is that the successful candidate will make important discoveries including: Whether patients in UK general practice with possible
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health status, gender identity/expression, and socio-economic status. An important part of our evaluation process will be the contributions candidates would make - through background, past experiences and
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the English language, thereby requiring English communication both verbally and in writing. Hourly Salary: $31.44 Hours per Week: 16 (Part time) Location: Leacock Building Supervisor: Professor Position Start Date: 2025
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Gan at Orygen, CYMH. This role offers you the opportunity to contribute to groundbreaking intervention research and make a real difference in mental health outcomes. Your responsibilities will include
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collection, processing, and analysis. They will also supervise a team of course-credit undergraduate research assistants to clean and process data collected throughout this award. Some flexibility may be
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems