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and mitigation within the general study programme wireless communication; as per April 1, 2026, or as soon as possible thereafter. The duration of the positions is three years. In electronic engineering
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Intelligence, Data Science, Robotics or any other relevant field, prior to receiving admission into this PhD program, i.e., we accept applications from candidates expecting to finalize their studies within
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, chemistry, applied physics, or similar. We will rely upon your advanced knowledge of chemical thermodynamics and physics of mixtures. You must be self-motivated and passionate about mathematical and physical
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processes and in mathematical modeling of chemical processes/reactors. The candidate must be self-paced, highly ambitious and with very good skills to collaborate with other researchers and technicians in
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How Creativity Persists into Later Life , funded by a Carlsberg Foundation grant awarded to Professor Karol J. Borowiecki . Applicants may be admitted through either the 5+3 or the 4+4 programme. The
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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computer science or a related field, with an interest in semantic technologies (ontologies, semantic querying) and information extraction. It is important to have strong programming skills, to prototype
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”, affiliated with the Danish Innovation Index (DII) at the PhD Programme Management, and will establish the Danish Innovation Index as a research excellence group at the Department. The positions are available
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python