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generative AI systems for healthcare. The successful candidate will contribute to defining ethics-by-design and compliance-by-design frameworks that guide the development and deployment of such systems
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optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
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Knowledge of alternative propulsion systems (hydrogen, electric, hybrid) Familiarity with ATM concepts, airspace design, or traffic flow management Experience with optimization or operational research methods
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professor Associate professor Education EngD Finance HRM IT Lecturer Legal staff Management Marketing and communications PhD Policy and staff PostDoc Professor Research, development, innovation Researcher
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Innovation perspective that fosters anticipation and critical reflection on the impacts and societal acceptability of emerging wastewater technologies. This project is part of the larger NWO Blue Vantage
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upon knowledge and insights from the filed of digital infrastructures and compliance monitoring. Key Responsibilities To develop design principles for the Digital Product Passport (DPP) utilisation
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dynamics to longer-term fluctuations driven by biological factors and learning. (3) Design and coordinate a large-scale data collection using a measurement-burst EMA approach to test the models and address
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department At HTSR , interdisciplinary expertise is brought together to aid decision-making on health innovation development, evaluation, optimization, and implementation. Research concentrates on quantitative
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is to develop strategies towards the design and implement a new generation of transparent, citizen-empowering AI systems, with a focus on AI-supported decision-making that contribute to the empowerment
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is to develop strategies towards the design and implement a new generation of transparent, citizen-empowering AI systems, with a focus on AI-supported decision-making that contribute to the empowerment