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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic
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methods Good command of the English language, both written and spoken Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period
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research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department
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issues. It is therefore essential to be able to predict and control the moisture state in construction materials. Traditional material characterization methods, standards and models for hygrothermal
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between vehicles will be enabled through shared control, communication protocols, and mission planning, allowing them to function as a coordinated unit. The multi-vehicle platform will be developed by
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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on these predictions, you will help create glass-ceramic materials with carefully controlled crystalline regions and well-designed glass/crystal interfaces that promote fast-ion pathways. The most promising material
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research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and