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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- European Space Agency
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- CWI
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); today published
- Erasmus University Rotterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); 26 Sep ’25 published
- Wageningen University & Research
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universities, local authorities, and international partners through strategic initiatives such as Interreg Flood Wisdom and the Pandemic & Disaster Preparedness Center (PDPC). This position offers a unique
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Wisdom and the Pandemic & Disaster Preparedness Center (PDPC). This position offers a unique opportunity to combine fundamental research with real-world application, creating the tools, knowledge, and
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Nature of the Netherlands, Wageningen University, and Wageningen Marine Research. It aims to develop: (1) a validated prototype of an instrumented beam equipped with a multi-channel flatfish detection
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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improve the management of low-carbon energy sources such as geothermal energy, CO2 storage, or hydrogen storage. Demonstrable experience in simulating and analysing coupled multi-physics processes (e.g
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the heating of microscopic aggregates of thermoplastic cut tapes, with the goal of accelerating process development for circular materials. You will generate valuable multi-scale data (micro- to mesoscopic
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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energy, CO2 storage, or hydrogen storage. Demonstrable experience in simulating and analysing coupled multi-physics processes (e.g., heat and fluid flow, chemical reactions and fluid flow) related to low
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of electrolyser capacity by 2030. Key questions around scaling up green hydrogen production centre on whether the existing onshore and offshore natural gas system can be repurposed for hydrogen, where new assets
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the reliability failure mechanisms of digital CIM architectures. Developing solutions to address the reliability issues. The PostDoc position is part of the CONVOLVE, a multi-partner European project involving