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position within a Research Infrastructure? No Offer Description The project aims at pushing the boundaries of machine learning and reinforcement learning with applications to healthcare data. This project
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complex, real-world challenges has spurred a growing interest in transformative learning within inter- and transdisciplinary contexts. Transformative learning is a pedagogical philosophy that goes beyond
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challenges has spurred a growing interest on the topic of transformative learning. Transformative learning is a pedagogical philosophy that goes beyond the acquisition of knowledge and skills, emphasizing
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principle of “active blended learning” in our programmes. As a Junior lecturer you will be encouraged to work on academic innovations and to build a portfolio in the context of education as a preparation for
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hydrological science with decision and behavioral theories from social sciences. As parts of these topics may be new to you, you are open to learn in an interdisciplinary environment together with researchers
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publish research results in international peer-reviewed conferences and journals designing and implementing FAIR methods and tools for FAIR research infrastructures in the SSH domain opportunities to teach
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. To facilitate interoperability between heterogeneous IoT devices, ongoing research at the VU User-Centric Data Science group investigates the combination of knowledge graphs and machine learning for smart
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Theology at Vrije University Amsterdam seeks a highly motivated and dedicated Assistant Professor to teach and conduct empirical research on the impact of spirituality in society with a focus on Hindu
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in NLP and text mining, including Python programming skills Eager to learn from other disciplines, related to history, religion, sustainability Completed BA or 3rd year BA in a relevant discipline (e.g
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European perspective. The project will be supervised by prof. Hemme Battjes and dr. Martijn Stronks. Your duties learn to independently conduct high-quality research, culminating in PhD thesis; collaborate