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goal-oriented mindset, and a passion for (scientific) challenges, you are the right person for us. Our lab develops technologies that integrate advanced imaging, computational analysis, and single-cell
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high-fidelity CFD–machine learning (CFD–ML) framework capable of efficiently analyzing and optimizing rooftop aerodynamic duct structures for building-integrated wind energy systems. The aim is to push
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, structural logic integration, and cross-scale design automation. Your research will contribute to digital tooling that supports scalable, flexible, and sustainable building production. You will play a key role
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toward the commercialization of this innovative platform, which has the potential to revolutionize the development of OA treatment strategies. By integrating advanced technologies such as MS and
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platform, contribute to accelerating the realisation of PEDs? How can standards (e.g. in terms of data models and APIs) support this process, e.g. by streamlining data retrieval, integration and usage? How
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. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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? Information We are seeking a motivated postdoctoral researcher to develop computational frameworks that integrate quantum-mechanical simulations (DFT, many-body methods) with modern machine learning approaches
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inventories and atmospheric models (TM5-MP, MAGRITTE, LOTOS-EUROS, CAMS). Integrating GEO (GEMS) and LEO satellite products, including diurnal cycle analysis of NOx emissions. Delivering results on time within
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play a key role in the integration and analysis of omics data collected within the groundbreaking TREAT EARLIER trial. This trial is the first preventive study in the field of rheumatology globally and