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Are you an innovative researcher with a strong background in CFD, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions
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already constrained urban spaces. To tackle this challenge, the MicroMReg project aims to develop adaptive micromobility regulation that promotes safe, inclusive, and pedestrian-friendly urban environments
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stakeholders from government, industry and consortium partners; and Prepare academic publications. About Hy-SUCCESS The Hy-SUCCESS consortium represents a collaboration of ten universities, two research
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, Netherlands and Poland, will develop new research methods and implementation strategies to tackle the need for energy flexibility in Positive Energy Districts (PEDs). Solutions based on AI-powered Urban Digital
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Architecture chair (UUA). The UUA chair has developed extensive and structural collaborations with stake- and shareholders in the metropolitan region of Eindhoven to work on fundamental societal challenges
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, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we educate innovative students in
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providers, and public health authorities within the Netherlands to understand current practices for sourcing critical supplies, identify vulnerabilities, and co develop a set of indicators that measure how
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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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for sourcing critical supplies, identify vulnerabilities, and co develop a set of indicators that measure how disruptions in support systems affect access to and quality of care. The findings will inform new
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resolution mass spectrometry tools. Your job You will work on the ERC project “NanoMare”. In this position, you will develop an innovative mass-spectrometry based approaches (TD-PTR-MS, Orbitrap MS) to measure