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Engineering » Computer engineering Engineering » Knowledge engineering Mathematics » Algorithms Mathematics » Mathematical logic Technology » Computer technology Technology » Knowledge technology Researcher
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optimization algorithms, machine learning, explainable AI and interactive visual interfaces, enabling patients and healthcare professionals to understand, steer and collaborate with AI-supported decision tools
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stability. Affinity with numerical simulation, algorithm development and scientific programming. Excellent communication skills in English. The following are considered assets: Knowledge of power electronics
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15 Jul 2026 Job Information Organisation/Company Université Catholique de Louvain (UCL) Research Field Biological sciences » Biology Medical sciences » Cancer research Researcher Profile Recognised
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14 Jul 2026 Job Information Organisation/Company Université Catholique de Louvain (UCL) Department Institute for Language and Communication Research Field Communication sciences Researcher Profile
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algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable strategies for estimating archaeological potential, that capture distinct criteria including
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms
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advanced planning and control algorithms, real-time and energy-efficient sensing, and distributed perception. Its research is applied across diverse sectors, including agriculture, manufacturing and remote
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layers. Within this environment, we will design and evaluate new reinforcement learning algorithms capable of operating in large, partially observed spatial domains to infer efficient, interpretable
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of trustworthy neurosymbolic AI. There is both a theoretic and practical component to this topic, since the ultimate goal is to implement efficient algorithms that allow reasoning engines to produce