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Field
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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
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characteristics make a machine learning model flag a certain bank transfer as potential money laundering? The aim of this project is to develop new mathematical techniques that can explain AI's internal mechanisms
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information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being
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. Other degrees with a strong mathematical component will also be considered. • Interests: You should have a strong interest in mathematical machine learning theory and explainable AI. (This point is about
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and mathematical tools in quantum physics, quantum information theory, and related fields. It is a strong asset if you have already acquired expertise and demonstrated your ability to perform rigorous
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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Mathematics » Applied mathematics Mathematics » Probability theory Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 20 Oct 2025 - 22:00 (UTC) Type of Contract Temporary
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the group. To strengthen the mathematical backbone of your work, you will collaborate intensively with: Prof. Remco van der Hofstad (Eindhoven University of Technology, expert in probability theory and
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develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first explore promising synergies in landscape services provision and analyse how to optimally align