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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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from diverse backgrounds and nationalities, creating an inclusive and inspiring atmosphere where knowledge sharing and interdisciplinary work are highly valued. The section has state-of-the art
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research environment with recently renovated laboratory facilities and state-of-the-art equipment for carbohydrate analytics and enzyme technology. Your daily work will take place in close collaboration with
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to work in an international team, work with forefront methodologies, and contribute to the investigation of persistent, mobile and toxic substances in drinking water, then DTU and Norwegian University
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) and Technical University of Denmark (DTU) aims at understanding and designing noble metal clusters in the non-scalable regime to enable exceptional catalytic performance for e.g. methane and ammonia
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rapidly changing characteristics. Simultaneously, the European energy system is also getting more coupled with other energy sectors like heat, gas, transport and industry. Power systems operating in such a
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passionate, curious, and driven individual, committed to accelerating the green transition by advancing autonomous solutions for wind power operations. You thrive on solving complex problems, ask bold and
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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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data, which often only provides snapshots in time, neglect coastal waters, and overlook certain species. You will work on integrating diverse data sources to overcome these limitations and develop a more
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will work closely with members of our research group, as well as with other research groups at DTU National Food Institute. You will also be involved in teaching Bachelor and Master students within our