17 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Lulea University of Technology in Sweden
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testing and collaboration with infrastructure owners or managers - Experience in supervision - Knowledge of data-driven methods, signal processing, or machine learning - Familiarity with sustainable
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who have experience in robotics and Reinforcement Learning to work in projects with a focus on: Designing satellite position controllers using reinforcement learning Where the student's expertise and
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the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: 2026-03-16 Reference number: LTU-1983-2026 URL to this page https://web103
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for applications: March 17, 2026 Reference number: 1786-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=9975&rmlang=UK
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application, including diplomas, must be written in English or Swedish. Closing date for applications: February 28, 2026 Reference number: LTU-1325-2026 URL to this page https://web103.reachmee.com/ext/I003/583
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for applications: February 28,2026 Reference number: 6943-2025 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=9695&rmlang=UK
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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the Department of Engineering Science and Mathematics. The department has several other research topics with activities that border on material technology, such as materials mechanics and machine elements. In
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to communicate research and development activities. Administrative proficiency relevant to the subject area and the duties of the position. The position requires the ability to teach in Swedish and/or English. If
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, electromagnetics, optimization, machine learning, and networking. Strong documented experience in these areas is commendable, particularly by having published your work. Candidates should have an excellent mastering