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the relevant effects and factors are difficult to quantify and are inherently uncertain, whilst decision-making power is distributed across several stakeholders, asset levels, and time horizons. The coordination
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customers over to human employees, and generate content that reaches large professional audiences — yet the design decisions behind them are made largely by intuition. We are looking for a doctoral candidate
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services, wireless medical devices as decision support systems and advanced data analytics (digital twins and artificial intelligence). Ideal candidates have a background in engineering with a specialization
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, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will
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intersection of computer science research and an applied domain — democracy and money systems — where decisions about how AI systems are built have visible social consequences. A doctorate from ETH Zürich
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of multimodal data ingestion, knowledge retrieval, and adaptive decision-making to deliver high-quality health/ behaviour change interventions with a strong emphasis on performance, safety, and real-world