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/werken-bij/sollicitatieprocedure-en-arbeidsvoorwaarden What we find important Promoting an inclusive community is central to Leiden University’s values and vision. Leiden University aims to be an inclusive
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intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more
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for the benefit of society. The vision is to make a difference by generating future prosperity through research into food and health. The institute works to prevent disease and promote health, develop new and
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness, including commercialization and collaboration with
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and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is
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suitable for those who have a commitment, skills and vision to help deliver volume manufacturing of the next generation of sustainable energy products. Funding: This scholarship covers the full cost
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for Applied and Theoretical Econometrics (CATE). The doctoral programme is an important element in the department’s research excellence strategy and in BI’s vision to become one of the leading research business
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning