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Field
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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for PhD candidates to join our research team and contribute
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during
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facilities hosted at UU’s Electron Microscopy Centre. Project description Recent advances in thermodynamic phase equilibrium modelling facilitate the prediction of metal budgets of crustal magmatic systems
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evolved into a mature technology with a broad spectrum of use cases and a diversity of platforms and building blocks. The foundry model is now becoming established where Process Design Kits (PDKs) allow
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a broad spectrum of use cases and a diversity of platforms and building blocks. The foundry model is now becoming established where Process Design Kits (PDKs) allow fabless designers to create
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Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years, practitioners and researchers have realized that predictions made by machine learning models should be
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, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner workings
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years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner
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van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model