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that truly understands its environment. You have a master's degree in Computer Science, Artificial Intelligence or similar. You are interested in Logic, Machine Learning, Knowledge Graphs, Stream
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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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histopathology and clinical information to learn robust cross-modal representations for diagnostic prediction. It pursues two integrated objectives: (i) to develop generative and explainable AI approaches
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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into the curriculum and by intensively supervising Master’s students in their theses and graduation projects. You teach students to critically analyse and contextualise images within broader social, cultural, and
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, microscopy, spectroscopy, pore-structure characterization, geochemistry. You are interested in interdisciplinary research at the interface of materials science and microbiology and are motivated to acquire
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BAP-2026-571 Is the Job related to staff position within a Research Infrastructure? No Offer Description Interreligious dialogical Learning has recently become a mandatory component of the Flemish
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counselling. In collaboration with the members of another teaching team, you will teach and coordinate the course Psychological Basic Skills for Conversation and Guidance (B-KUL-P0V87A). You hold a doctoral
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15 Jul 2026 Job Information Organisation/Company KU LEUVEN Research Field Educational sciences » Learning studies Educational sciences » Teaching methods Researcher Profile First Stage Researcher
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configurations and sound sources through sophisticated interpolation strategies and/or transfer learning, enabling parametric response evaluation across vehicle assemblies. •The developed strategies will be