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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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epithelium, immune cells and synthetic microbial communities (SynComs) that reflect infant gut physiology; coordinate and maintain the collaboration between mechanical engineers, microbiologists and
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well as historians of physics who are interested in engaging seriously with the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers
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workshops and reflection sessions, contributing to collaborative and transdiciplinary knowledge development under the principle of “learning together, developing together"; Publish articles in both peer
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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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of Behavioural and Movement Sciences. The lab conducts internationally recognized research on leadership, collaboration, and human behavior in organizations. In close partnership with public and private
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over