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this project we are going to guide several schools in making the transition towards more customized education enabled by efficient and effective logistics processes. We will work with the schools in a design
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Dutch and English. Affinity or experience with innovation projects involving partners from practice. Willingness or experience in programming heuristics and algorithms. Motivation to produce academically
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geography, regional science, applied economics or innovation studies showing a clear affinity to regional innovation and/or regional economic policies. Proven experience in quantitative and/or qualitative
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences
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of the University of Groningen, offering a unique opportunity to work at the interface of academic research and industrial innovation. This project offers an excellent opportunity to contribute to a sustainable and
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dynamic processes using differential equations, integrals, probability functions, and applied statistics. Therefore, having experience using more than one of the following languages is crucial: Matlab
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-intensive and innovation-oriented industrial partners. As core expertise, the consortium specializes in developing new chemical building blocks that, when applied on industrial scale and with industry-leading