298 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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your research results in peer-review scientific publications and international conferences Disseminate your results through public engagement and social media Teach and supervise MSc and BSc students as
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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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- to learn more, please visit our website: ECONOVO - Center for Ecological Dynamics in a Novel Biosphere - Aarhus University (au.dk) Expected start date and duration of employment This is a 2–year position
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build cohesion/coherence across the three centres and to create a united, national scientific community. Learn more about the Lundbeck Foundation here . Terms of employment Terms of employment and pay
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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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helium droplet machines. Also, you will be jointly responsible for making sure that various experimental apparatus in the laboratories are maintained and serviced with timely care. In particular
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to combineremotesensing data with Earth system models for multi-source analysis Has a strongbackground in Artificial Intelligence, includingmachine learning, deep learning, or hybrid modelingapproaches Has a research