91 Education "University of East Anglia " research jobs at Technical University of Denmark in Ireland-United-Kingdom
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coordinate with other researchers Fluency in communicating, reading and writing English. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected
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to collaborate with the diverse and interdisciplinary team at Pandemix and our associate researchers to develop and advance shared research projects. As a formal qualification, you must hold a PhD degree (or
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programming, e.g. using Python, is important. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a
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for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment
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Council (EIC) Transition Grant project, then this position is for you. The ultimate goal is to evaluate the technology's market potential and prepare a business plan for commercialization. You will have an
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on the TEDDY research project, which is funded by the Hedorf Foundation and the FDE Foundation. The overall research project is to develop and validate mathematical models that aid logistics companies in
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of data as well as related tools and systems. At the Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) we develop the next generation biotechnology using synthetic biology techniques. We
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improve durability of both components and in addition to develop improved methodologies to describe their performance. Transforming our society to rely only on sustainable energy sources is a massive
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equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an
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of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models