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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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group in the Department of Cognitive Robotics. You will be supervised by associate professor Luka Peternel and associate professor Jens Kober, and work with MSc students and PhD candidates in
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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the project. Requirements PhD in Analytical Chemistry, Microfluidics, Chemical or Biomedical Engineering, Robotics, or a related field. Hands-on experience with microfluidic systems, segmented flow, and
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team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug delivery to the foam on your cappuccino: the properties of small molecules, polymers and
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into your courses. Supervise and mentor PhD candidates, postdocs and student projects, fostering a dynamic and inclusive learning environment. Engage in leadership and service, including community outreach