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PhDs on Decentralized AI for Health Diagnostics: Foundation Models and Domain Knowledge Integration Irène Curie Fellowship No Department(s) Industrial Design Reference number V51.7430 Job
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the question: How can we estimate prospective impacts of environmental damage on human health and justice? As a first example we will quantify impacts caused by air pollution related to circular
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AI Systems Institute, which combines all AI-related research across 7 Departments in the University encompassing Mobility, High-Tech Industry, and Health application domains. This includes an industry
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health risks, and soon their use will be restricted due to upcoming PFAS-legislation. This project aims at investigating better performing and safer polymer materials for vibrational damping control
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-Tech Industry, and Health application domains. In particular, this includes an industry-supported Digital Twin Lab (DTLab) that is specialized in the use of AI techniques in the creation of smart digital
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, innovation, and industry concerns. This project adopts an objective and balanced approach to (bio)pharmaceutical drug supply chains from the joint perspectives of the government, industry, payers (major health
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software for 6G radio and core networks; (3) leading applications, developing new 6G applications in mobility, energy, health and other sectors that create value through new set-ups of the sector value
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and power electronics in the Netherlands. The research is aligned with the three main strategic research themes of Eindhoven University of Technology, i.e. Energy, Health and Smart Mobility. This PhD
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targeting three Strategic Areas with education and research: Energy, Health, and Smart Mobility. The Department of Electrical Engineering (EE) is one of the most successful departments in the Netherlands in
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predictive models and a demonstrator of a health sensor. Working location The work will be performed in the group Transport in Permeable Media (TPM) in the Applied Physics department of the Eindhoven