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and support well-founded decision-making within the programme. You design and organise engaging workshops and learning experiences for students, connecting digital and technological developments to real
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compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
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Economics tracks at University College Utrecht. In this role, you will teach and supervise students across both disciplines in a stimulating Liberal Arts and Sciences environment. Within the Political Science
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, Computational Cognitive Science, Intelligent Systems, Culture Studies, Philosophy, and the Tilburg Center of the Learning Sciences. Collaboration across disciplines is encouraged among both researchers and
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-learning models that connect powder characteristics and process parameters with the properties of the final components. These models will support faster feedstock qualification and enable predictive quality
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-source scientific software library. You will be part of a larger project at the Uncertainty in Complex Systems lab (PI: Dr Max Hinne) aimed at learning which statistical and/or computational model is most
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colleagues, and participation in the Marketing research program. The lecturer will teach in Bachelor’s and Master’s courses, depending on expertise and experience, and supervise BSc and MSc theses. In addition
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an international team, has excellent communication and interpersonal skills. You are eager to learn and dare to ask questions, no matter the size of the issue. You are willing to travel internationally and to keep a
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at Saxion University of Applied Sciences, you will contribute to the development of machine-learning models that connect powder characteristics and process parameters with the properties of the final
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Dutch Art and Flemish Art. The appointment is expected to begin on July 1st, 2027. The appointee will teach and advise at the undergraduate and graduate levels. External applicants and finalists