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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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thesis is not pre-defined and should be defined by the candidate over the course of the first year. The domain of the PhD thesis must be machine learning and either control theory, path planning, or multi
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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Competencies: We seek highly motivated researchers with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates should possess experience in
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artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
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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 Residents (LPR); Foreign
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Description The „Karlsruhe School of Elementary Particle and Astroparticle Physics: Science and Technology (KSETA)” is the Doctoral School of the KIT Center Elementary Particle and Astroparticle
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications