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international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders
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networks, or network science, and relevant background knowledge on methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods
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networks worldwide to become a truly global centre of knowledge. Qualifications The candidate will be based in the group of Prof. Eriksson (Marine Ecology Lab.) ( https://www.rug.nl/staff/b.d.h.k.eriksson
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members, 2,500 PhD candidates, and over 13,000 students, Wageningen University & Research is among the world’s leading knowledge institutions in its domain. The integral approach to challenges and the
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at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks. The programme brings together a wide range of world-leading climate experts with the aim to address
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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, creativity, rigor, ownership, and excitement to push research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, data management, and
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of our green campus! We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.
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, characterized by excellence in research, an international community, comprehensive resources, and a strong reputation and network. Located in Leeuwarden, the capital of the province of Fryslân, Campus Fryslân (CF
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high-tech devices with diverse information sources, BirdEyes aims to create a novel knowledge network. The centre, situated within the Faculties of Science & Engineering and Campus Fryslân, and