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spectroscopies, as well as magnetic force- and scanning electron microscopy. You will collaborate closely with your theoretical partner in Utrecht, learning from theory to improve optical strategies and design
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-disciplinary research team and gain training in state-of-the-art AI methods such as Bayesian optimization, active learning, and scientific machine learning. The project involves close collaboration with
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communities concerned? This research involves close collaboration with social partners such as the HERStory Art Foundation (Farida Nabibaks), Theater Thalia, and NAKS. As a PhD candidate, you will conduct
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. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
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Faculty Success: Development of Program of Scholarship Work collaboratively with nursing faculty to develop and enhance their individual programs of scholarship Offer consultation and mentorship on research
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1
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of France in Paris (C2RMF), in collaboration with the SATIE (Systèmes et Applications des Technologies de l'Information et de l'Energie) and the Centro per la Conservazione ed il Restauro dei Beni Culturali
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psychology research; Motivation to collaborate with researchers and clinical psychologists, with the ability to work independently and accurately; Dutch B1 proficiency, or a commitment to learn in the first
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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year of doctoral studies, the candidate will have the opportunity to acquire and develop digital research tools. Research questions may address concept annotation in small corpora, historical linguistics