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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position
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propose) and continuously have the opportunity to exchange with other teams and professorships, participate at faculty retreats, symposia, summits etc. Fellows have their primary office at the ETH AI Center
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the whole university: direct work with all 16 departments, the central bodies and external partners, and visibility at institutional decision-making level A team whose ETH-wide projects and collaborations
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study operational decision making with data science. This
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, or Mixed Reality to support spatial understanding, coordination, and decision-making in a given phase or AEC discipline. Seamless Digital Processes: Integrated information management from office to site
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by developing quantitative support for fact-based decision-making in railway infrastructure management. Particular emphasis is placed on characterising and propagating the uncertainties inherent in
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and public decision-making. You will build on ongoing interchange with key stakeholders and solution-scoping activities already underway within GeoLab, and work closely with senior domain-relevant
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-minded, and innovative research group trying to make a difference by doing research relevant for society and decision makers We work at ETH in Zurich and SLF in Davos and the work location (Zurich/Davos
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20%-30%, Zurich, fixed-term The Strategy and Analytics Team helps ETH Zurich make decisions about teaching. We take data that exists at different levels (individual courses, degree programmes, whole
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organizations, disciplines and time zones. Organize regular coordination meetings; prepare agendas, briefs and decision material; document decisions, actions, owners and deadlines; and follow through