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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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wing panels. Reliable process control is critical: underheating leads to poor bonding, while overheating causes polymer degradation. At the heart of process control algorithms lies a physics-based
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scheduled in the period 13 till 17 October 2025 and interviews can be held through Microsoft Teams. A second round of in-person interviews may be scheduled (in de first week of November) if necessary. A
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| c.soyarslan@utwente.nl Interviews (online or in-person) will be scheduled shortly after the deadline. Screening is part of the selection process. Website for additional job details https