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develop methods to examine the process by which AI-models solve problems that were previously considered to require human-like (fluid) intelligence, e.g., abstract and analogical reasoning problems, and to
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, those materials experience a complex combination of fluid flow and interface phenomena, which dominate heat- and mass-transfer limitations. Traditionally, we reduce the complexity of the underlying models
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
/ plasma research are preferred. Knowledge of computational fluid dynamics is a plus. Strong organisational and communication skills are expected in order to facilitate interaction with several external
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? Do you like studying physical systems with wide impact in society? Then, this PhD position is ideal for you! Information This PhD project aims to develop advanced fluid models for low-temperature
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. You will tackle this challenge by building a "virtual thrombus"—incorporating fluid mechanical effects, structural stresses, and agonist transport. Your specific research challenges include: Building
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project-team consisting of 3 PhD students, a postdoctoral researcher and the PI (Wietske van der Zwaag). You will be joining a highly collaborative research environment in the Ultra-High Field Neuroimaging
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-conductivity room-temperature liquid metal (non-toxic and non-combustible) as the heat transfer fluid, aiming to achieve a 30% reduction in cost and a 50% reduction in critical materials. Your Role: The Heart
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psychology and developmental science. You will work closely with the principal investigator and a postdoctoral researcher, and collaborate with performing arts festivals, music venues, and cultural partners in
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Institute of Physics that focuses on complex fluids and soft mesoscopic materials, both experimentally and computationally. There are strong links with soft condensed‑matter theory and computational chemistry
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Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state