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system, consisting of several components, for processing quantum algorithms, tailored to meet user needs. Developing and testing tooling software, ensuring quality through unit and integration testing
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Description Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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mission products during the exploitation phase, and phase F, including product and processing scenario definition, algorithm definition and evolution for Level 1 and Level 2 products, the calibration and
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to make viable 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
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.
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4 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science Mathematics » Algorithms Mathematics » Statistics Researcher Profile First
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well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient