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Field
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contribute to collaborative projects. Areas of expertise should include contrast-free super-resolution microvessel imaging algorithm, ultrafast ultrasound imaging system design, and hardware acceleration
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via the Emmy Noether project “Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability
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feature selection in the context of stock market prediction (e.g., for predicting S&P 500 movements). Simple filter methods as well as evolutionary algorithms will be used as part of the project, which will
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telescopes. A major objective will be the development of an iMz-based XAO instrument for the Gran Telescopio Canarias (GTC), including the integration of new calibration approaches and control algorithms
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24 Jun 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Other Mathematics » Algorithms Mathematics » Computational mathematics Researcher Profile First Stage
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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methodological developments along the chosen direction (inference, active-matter theory, or machine learning). ◦ Algorithmic implementation and validation of the developed tools. 5. Validation on model systems
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donor management, donor health protection, health data use, and algorithm-supported decision making. 2. Stakeholder Perspectives Using focus groups and semi-structured interviews, you will explore
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing