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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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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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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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, for example in human and robotic exploration vehicles (orbiters and landers) and space transportation systems (launchers, re-entry vehicles and space tugs), as well as orbital systems for in-orbit servicing