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contexts shape active sensing maneuvers, including turning behaviors and exploratory movements Sensorimotor Integration: Understanding how sensory feedback influences motor control in real-time behavioral
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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that the candidate has demonstrated research experience and is able to participate in international fieldwork, meetings and dissemination activities. As a formal qualification, you must hold a PhD degree (or
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Engineering at least 1 year’s relevant working experience (including PhD research experience) in semiconductor device fabrication and characterization. an excellent command of written and spoken English good
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent
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University on the NAMUR project is focused on creating intuitive systems for controlling multiple robots with natural language. The successful candidate will develop and test novel user interfaces
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research focuses on improving the quality of life of patients with cancer and their care partners. CREST was founded by the OSUCCC – James, and is led by Jessica Merlin, MD, PhD. Position Summary We
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is also mandatory. Candidate Profile: Hold a PhD in catalytic processes or an equivalent in a relevant field Possess relevant experience in CO2 hydrogenation Demonstrate experience in gas-phase product
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collaboration and analytical skills. The candidates with the following background and qualities are particularly encouraged to apply: A PhD in Energy Policy, Science and Technology Studies, Policy Sciences
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Contract: 2 years (24 months – full-time) We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic