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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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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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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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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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, theory, and methods of the PhD project is up to the candidate. It is highly recommended that interested candidates contact one of the project leads to discuss their PhD proposal prior to application
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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-the-loop (HiL) testing and coding skills using Python or JAVA programming is an advantage. Some teaching activities within the research area and collaboration with our team for translating research ideas
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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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Job Description If you are you passionate about getting to the core of a scientific problem and coming up with creative solutions, and if you are you passionate about experimental electrocatalysis