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Job Description Do you want to establish or further develop your career as a computer scientist in an international, research-centred technical university? Do you want to contribute to the education
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history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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architecture, computer systems, or chip design. You could have insights in, among others, System-on-Chip (SoC) and chiplet designs, with an emphasis on energy-efficient processors; hardware-software co-design to
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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for the position. If you would like additional information about the position, please contact Dr. Shahab Tohidi, sshto@dtu.dk . Read more about DTU-Compute and our team at Dynamical Systems Section at https
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for Mathematics here and about the Algebra group at DTU and the corresponding research at the Algebra group webpage https://algebra.compute.dtu.dk/ . If you are applying from abroad, you may find useful
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Søren Hauberg