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Dutch. It would be an advantage if you have: Experience working with sensitive or potentially distressing research topics. Experience with participatory, creative or visual research methods. An interest
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on the topic of Compositional Learning for Vision Foundation Models. The aim will be to explore compositional learning strategies (e.g. attribute-object visual representation, or other forms) to reduce the data
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of Art, Architecture & Landscape (AAL) in Groningen is unique because, in the Bachelor program, it combines the study of the visual arts, urbanism, architectural history and the history of landscapes, and
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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to join the AttentionLab for a one-year position starting in October 2026. The successful candidate will contribute to an internationally visible VICI project investigating how pupil dynamics reflect visual
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elucidating for the first time the dynamics of spreading and polycondensation of chemical damp proofing products by real-time visualization of these processes at the pore scale. You will use novel experimental
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utility to more complex-shaped multi-layered structures is limited. In this project you will design and construct advanced DH systems to visualize complex optical samples comprising of multiple layers
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of Art, Architecture & Landscape (AAL) in Groningen is unique because, in the Bachelor program, it combines the study of the visual arts, urbanism, architectural history and the history of landscapes, and
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of visualizing renovation scenarios and communicating recommendations to stakeholders. Validation will be performed through real-world, multi-climate demonstration cases within the CLIMABUILD project
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks