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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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who hold a recent PhD degree in chemistry or chemical engineering. The ideal candidate will thrive in a collaborative team environment and possess strong leadership skills to effectively guide a small
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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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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details of at least 2 referees, A list of all courses attended and grades acquired during your bachelor, master and PhD courses. For more information about this function, please contact dr. K.E. Konrad
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Employment 0.5 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 05 October 2025 Apply now Join an international
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: How do we enable continuous robot learning in shared
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related to learning, behavior, and interactions between humans and systems using advanced quantitative methods. You will be part of a team developing and testing VR simulations. You will perform and conduct