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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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while reducing waste, we are at the forefront of innovation. Moreover, employing advanced techniques like artificial intelligence and machine learning, we are revolutionising material production, making
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07.05.2025 Application deadline: 13.06.2025 The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and the University Hospital
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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processing, preferably with regard to image processing using artificial intelligence, is required Experience with scoring of plant disease symptoms is a plus but not a requisite Equal opportunities and
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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Your Job: Join AMI, the Artificial Materials Intelligence division at the IET-3 at Forschungszentrum Jülich to develop an Autonomous Multi-Agent Performance Prediction Framework for PEM water
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
diversity and integrating them with knowledge on environmental characteristics. In addition to benthic communities, microorganisms in bottom waters, on manganese nodules, and artificial nodules from