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if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong mathematical foundations. Hands
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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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–organic frameworks, which translate the exquisite control of molecular synthetic chemistry into robust solid materials. We combine a strong background in synthetic skills with expertise in characterising
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, pipelines, platforms, and other critical subsea infrastructure with minimal human intervention. The collaboration between vehicles will be enabled through shared control, communication protocols, and mission
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robustness Integrate the developed process with existing PFAS treatment technologies Analyze samples using advanced chemical and spectroscopic techniques (e.g., LC-MS, IC, TOC) Disseminate findings through
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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping (https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in safe
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. We are a team of currently about 20 researchers, engineers and PhD students, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and
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. Our activities span enzyme and microbial systems, process intensification, and control strategies, with the aim of linking fundamental insights into biocatalyst behavior to robust process implementation
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contribute to the development of novel algorithms and methodologies that enhance the robustness and accuracy of acoustic measurements. We are looking for a highly motivated candidate, with a relevant MSc
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics