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data sessions. For more information about the TRANSITION center, and the work package the PhD project is a part of, please contact director of center professor Pia Quist (pia.quist@hum.ku.dk ). See also
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development and generative AI tools is an advantage as is an interest in sustainable and ethical AI. You should be committed to producing research that not only advances theory but also benefits Danish society
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are looking for a person with a relevant degree (e.g. health economics, economics, statistics, data science, public health science). Are you passionate about contributing to a groundbreaking interdisciplinary
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Expertise (experience in one or more of the following areas is preferred): Mathematical foundations of AI, such as optimization, generalization, and approximation theory Statistical machine learning and its
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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, probability theory, and combinatorial optimization. Experience in decision-making under uncertainty and autonomous system operation. High level written and spoken English skills. You may obtain further
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strain theory and advanced hyper elastic material models incl. anisotropy You preferably have insights into topology optimization and/or finite element analysis and are committed to improving state
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will organize several research-related activities, such as workshops and seminars throughout the project period. The work is supposed to empirically test hypotheses rooted in economic theory. The center
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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient
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assembly, disassembly, and quality management. The position is available as of May 1, 2025, or as soon as possible thereafter. The workplace is the SDU Campus Odense, with some travel required within Denmark