157 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Technical University of Denmark
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factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Learn more at https://www.biosustain.dtu.dk/ Technology
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Job Description Are you burning for physics and how to teach it? Do you want to be a central part of developing new lab exercises for teaching quantum mechanics and electromagnetism at university
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. The period of employment is 18 months. Further information Further information may be obtained from Viji Kandasamy, Head of DNA Foundry. You can read more about DNA Foundry at https://www.biosustain.dtu.dk
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factories. There are lot of opportunities to learn and develop new technologies through different projects and close collaboration with interdisciplinary teams in biofoundry. Primary areas of responsibility
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information may be obtained from Daniel Olesen, danole@space.dtu.dk or Michael Schultz Rasmussen, msr@space.dtu.dk You can read more about the division at https://www.space.dtu.dk/english/research
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including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Representative
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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obtained from Senior Researcher Bjarke Eltard Larsen , https://orbit.dtu.dk/en/persons/bjarke-eltard-larsen . You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk
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Associate Professor Luca Vezzaro. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding