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part of LIACS, the Leiden Institute of Advanced Computer Science, in close collaboration with an industrial partner. You will work with top AI researchers in reinforcement learning and machine learning
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enterprises and collaboration networks in agricultural areas as a response to the lack of space in urban regions. These initiatives combine agricultural production with public and private services such as
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tomorrow’s living environments? And how can we support mutual learning between researchers in the geo-information sciences and societal actors when engaging with an increasingly uncertain and turbulent future
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renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
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Your job Do you also feel that assessment systems can be more optimally used to support and empower student learning? Do you like to innovate education, work with teachers and make a difference for
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)equality, work and sustainability in the creative sector and the role of the cultural industries for social change. To that end, the candidate will closely collaborate with ERMeCHS’s established research
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advancements. Joining our team means being a part of a proactive community that values practical collaboration and ongoing learning. About the organisation The Faculty of Science & Technology (Technische
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% of total workload), including supervision of Bachelor and Master students. Contribution to the scientific and collaborative research environment in Chemical Engineering group and the ENTEG institute
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of collaboration, sharing knowledge and experiences, and contributing to a collegial, open and inclusive work environment. You have good verbal and written communication skills. You are interested in the research
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested