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the institute and the academic community, a dedicated and passionate atmosphere prevails. The themes of Health and Wellbeing, Social-Cognitive-Affective Decision Making, Development and Learning, and Advanced
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designed for the 13 Research Fellows within the BIO-MICRO consortium. The BIO-MICRO training programme offers a blended learning approach that combines monthly interactive live online sessions (60–90 minutes
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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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working and study climate, and an inspiring environment for education and research. Learn more about our codes of conduct We are located on one physical campus, in the heart of Amsterdam's Zuidas business
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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, creativity, and problem-solving abilities are highly valued. Excellent oral and written communication skills in English are required. The candidate should be naturally curious, eager to learn, and strongly
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research-oriented attitude and a strong drive to learn and push the state-of-the-art. A creative mindset, and the ability to take initiative. Experience with homogenized constrained-mixture models or other
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of your own learning process . An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally
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technologies such as sensing, data analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job
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learning process . An excellent technical infrastructure, and on-campus children's day care. Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate. We