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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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-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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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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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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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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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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, both within UM and with external partners. Teach at bachelor’s and master’s level in AI, climate data, machine learning and related topics into your courses. Supervise and mentor PhD candidates, postdocs