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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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, 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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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
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opportunities for exploring frontier problems in quantum information dynamics. The successful candidate will: Design, build, and operate state-of-the-art neutral-atom experiments Demonstrate novel quantum control
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the MIREN network Profile We are looking for intellectually curious candidates who are highly motivated to engage in rigorous ecological research, enjoy being outdoors, can plan and organize logistics, and
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machines powered by engineered muscle tissue. Within this research area, the SRL designs, fabricates, and characterizes muscle-driven biohybrid robots. Muscle constructs are produced using hydrogel casting