146 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Technical University of Denmark
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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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position. You can read more about career paths at DTU here . Further information Further information may be obtained from Assistant Professor Melisa Benard Valle, melval@dtu.dk https://orbit.dtu.dk/en
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” at https://www.bioengineering.dtu.dk/about. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option
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about DTU Electro at www.electro.dtu.dk . For more specific information on the Quantum Light Sources group, see also https://electro.dtu.dk/research/research-areas/nanophotonics/quantum-light-sources
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be to: Conduct multidisciplinary research (as explained above) Teach (and design) BSc and MSc courses, Supervise BSc and MSc student projects, Supervise PhD students as a co-supervisor for PhD students
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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, machine learning tools, and simulation techniques. If you thrive at the intersection of engineering, data, and advanced computational science, this position will allow you to contribute meaningfully
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from by contacting Professor Peter Vesborg or Professor Stig Helveg . You can read more about Center for Visualizing Catalytic Processes (VISION) at https://vision.dtu.dk . If you are applying from
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted