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cognitive operations in existing data, label these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025
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on research activities already underway in our Materials & Environment section, building up on existing numerical models providing a foundation from which you can build on and contribute your own expertise
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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of researchers who attempted to predict who would have a child in three years. The second project is “Forecasting Fertility with Foundational Models”. More specific tasks include: Conducting independent high
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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independent researc A solid background in batteries, battery management systems, battery SoX modeling, thermal management of batteries, battery lifetime estimation and development of experimental setups
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024
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40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modelling, data science, and the development of future Earth observation