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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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an interdisciplinary team of project partners from the Dutch MedTech industry. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University
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with an interdisciplinary team of project partners. Collaborate with other postdocs and PhD students in the research group. Organisation Since its foundation in 1614, the University of Groningen has
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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
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, to design and optimize the control of complex industrial processes and systems. Key application areas include energy systems, opinion dynamics, robotics, and mechatronic systems, among others. For more