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Field
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flow injection of water-based slugs into a push solvent followed by NMR detection of metabolites[1] . This platform included automated sample handling robotics, a custom-built flow cell, and precise
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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REQUIREMENTS A PhD in mechanical engineering, materials engineering, robotic engineering or similar disciplines Documented experience in FEM analysis and CFD analysis Strong publication record Good command
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the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by robots
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BSc, MSc or PhD degree or equivalent in mechanical, manufacturing, electronic, robotic control engineering or any relevant discipline. You will have regular interaction and collaborate closely with
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characterization of plant fibers by using a robot with a small tip that can compress the plant fibers one by one. These works demonstrated the capability to efficiently generate experimental tests but, we now want
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Vision–Language–Action (VLA) models for tabletop and mobile manipulation. A key focus is leveraging whole-body, humanoid-style motion to improve perception and control, enabling robots to solve complex
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field, with a strong background in experimental or theoretical/computational aspects of neuroprostheses, wearable robotics and human sensing technologies; demonstrated skills in embedded systems, control
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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments