572 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Netherlands
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models that provide evidence-based reasoning for mission-critical decisions. Explainable AI for mission-critical decision support: design interpretable machine learning architectures capable of offering
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concepts into measurable, reusable methods. Context: You will contribute to the ERC Starting Grant GAMECHAR (Scalable AI-Driven Framework for Gameplay Characterization; https://cordis.europa.eu/project/id
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details https://www.mbnresearch.com/MS-RADAM/DC-research-projects https://www.rug.nl/research/gradschool-science-and-engineering/ Work Location(s) Number of offers available1Company/InstituteUniversity
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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emerging field with your insights. You will learn how to design chemical reaction networks at material interfaces and become a forerunner in chemically-programmable coatings. Briefly, the core objective of
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adaptation, synthetic data generation, and cross-modal learning to enable models that generalize across defect types and machine configurations. This ensures scalable, accurate defect detection even in low
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application via the Apply Now button. You may address the application to the Program Chair, Prof. Dr. Ward Berenschot (do not email him your application). Where to apply Website https://www.academictransfer.com
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inference to machine learning and artificial intelligence. Leiden Observatory aims to remain at the forefront of these developments — in both research and education — by strengthening its expertise in
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in exciting scientific communities on innovation and technology assessment. The project will be supervised by Dr Matthijs Janssen and Prof Wouter Boon . Where to apply Website https
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) and follow courses at the Graduate School of Life Sciences and/or Philosophy; you will also teach Bioethics and Medical Humanities courses at the Faculty of Health Sciences. Where to apply Website https