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spaceborne remote sensing. You will first identify large-scale drivers of compound extremes in models and observations, then build an emulator using advanced AI methods, such as convolutional neural networks
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of urbanism and governance. The specific focus will depend on the selected case study, but it will involve working with communities that often consist of migrants and displaced people who develop networks and
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to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is
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Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on
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. The program develops scientific knowledge, models and simulation tools to support marine spatial planning in a multi-stakeholder co-creation process. You will join a team of 17 PhDs and postdocs across
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Radboud University, which aligned perfectly with my interests. After a great first impression of my supervisors during the job interview and positive feedback about Radboud University from my network, I
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create transparency and coordination across many stakeholders. You will work in a strong multi-actor consortium with University of Twente (UT), Tilburg University, Saxion, regional networks (e.g
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crystallization field, porous media, as well as heritage conservation; Integration into both international research networks in Crystal growth, Porous media, and Cultural heritage science; Professional development
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
School of Health Professions Education (SHE). Together with colleagues from FHML, MUMC+, and the MUMC+ Quality, Innovation and Research expertise unit, you will work in an interdisciplinary network
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science, environmental modelling, geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling