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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
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27 Aug 2025 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Materials engineering Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Country Netherlands Application Deadline 1 Sep 2025 - 21:59 (UTC) Type of...