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of thousands of molecules in our fully automated high biosafety screening facility CAPS-IT against multiple viruses. You will be responsible for the development and deployment of advanced machine learning models
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that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
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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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sensing, advanced signal processing, machine learning, and longitudinal behavioral analysis to establish clinically meaningful digital biomarkers of eating behavior. These biomarkers will quantify fine
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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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professors are expected to teach a few basic undergraduate courses. You contribute to the faculty’s and the university’s pedagogical project through the supervision of student projects (for example bachelor’s
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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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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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. Although AI is increasingly being used to support the learning of productive language skills, empirical evidence regarding its effectiveness in foreign language education remains limited. In this project, we
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference