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the transformation towards a climate-resilient society. Together with stakeholders, the interdisciplinary NCCR CLIM+ research community tackles unexplored solution spaces to the climate crisis and develops a blueprint
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archives) Designing and implementing machine learning models for analysing and predicting well-being indicators Collaborating closely with other project members (including a second doctoral student working
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ETH in Regenerative Materials, offered by the Chair of Sustainable Construction at ETH Zurich, are designed to tackle these challenges. These international training programmes provide the knowledge and
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, forestry organisations, technology companies, start-ups, service providers, public agencies and implementation partners Represent ETH Swiss GeoLab across Swiss forestry, scientific, policy and innovation
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working hours and a supportive learning environment. Professional development: Support for training and further education initiatives to enhance employability. These benefits are designed to promote both
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employees. Projects will explore success factors in designing and deploying Conversational AI. This could include, for example, varying technical foundations (e.g., prompt engineering, fine-tuning, model
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Lugano and in Zurich. Project background As high-performance computing, AI, and cloud technologies continue to converge, CSCS is redefining how to design and deliver advanced computational services. Modern
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will not be considered. We plan to collect applications for 1 month (until July 19), and reserve the option to extend this window. About ETH Zürich ETH Zurich is one of the world’s leading universities
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innovation communities Communicate mission goals, progress, evidence and lessons learned at field events, workshops and conferences Guide and train students, researchers and external contributors where
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decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental designs and evaluation frameworks for AI-assisted decision-making Collaborating with