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of fifteen (15) highly interlinked PhD projects, of which this particular call is for project DC 3: From formal behavioral specifications of chemical systems to their chemical implementation. Systems theory
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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soon as possible thereafter. The workplace is the SDU Campus Odense in Denmark, with some travel required within Denmark. Mastering the Danish language at a proficiency level is a requirement
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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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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. This position is funded by the Danish Research Council Project 1 (DRC-1), which aims to address fundamental problems in geometric singular perturbation theory within the setting of slow-fast analytic vector
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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