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technological landscape continuously inspires innovation, are you keen to uncover the student perspective, and the implications of AI for meaningful student learning? Job description Delft University
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an inclusive, collaborative research culture. What we ask of you You are a curious and rigorous researcher who enjoys learning across disciplines. You can translate an ambitious methodological idea into a
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want to work at the interface of physical chemistry, spectroscopy, photochemistry and
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized on location (Western Scheldt and
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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governance from around the world”. We address questions related to institutional effectiveness and change, governance innovation and complexity as well as learning and adaptation. Empirically, we have a strong