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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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, analyse the resulting multidimensional datasets, publish the results and collaborate closely with the supervisory team and colleagues. This is what we ask of you You enjoy experimental research and want
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such as health and wellbeing, sustainable living, learning and development, inclusive society, safe and healthy upbringing, and work and collaboration. If you would like to learn more about the Faculty
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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emphasis on understanding natural behaviours such as navigation, orienting and reaching. The position offers a highly collaborative environment, with close interaction with researchers at the Donders
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). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
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epithelium, immune cells and synthetic microbial communities (SynComs) that reflect infant gut physiology; coordinate and maintain the collaboration between mechanical engineers, microbiologists and