63 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark in Denmark
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
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working with biology and biotechnology in a lab setting. Possess in-depth knowledge of laboratory safety protocols and regulations. Are curious and proactive in learning new methods and gain new knowledge
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extensive opportunities to learn, innovate, and develop new technologies through projects and close collaboration with interdisciplinary teams across the biofoundry. Primary areas of responsibility Develop
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. The ability to work collaboratively in a team with an open-minded spirit, embracing both teaching and learning opportunities. An interest in discussing physics and engaging in thoughtful conversations. Making
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collaborate with members of different research groups within DTU BRIGHT or beyond and teach and supervise BSc and MSc students. Key selection criteria: Experience in microbiology, metabolomics, systems biology
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DeiCs values and goals are at the forefront of what you do. Can communicate professionally in English. Being able to speak Danish is not a must, but you must be willing to learn Danish to integrate fully
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be perfect for you! The focus of our new lab is to provide students, researchers and industry with a realistic simulation of building design projects to help us learn how to design, better, more
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of BRIGTH and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of
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Agriculture. Learn more at biosustain.dtu.dk Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and