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the shared Geo-Intelligence Platform Adopt or set technical standards, priorities, interfaces and development principles aligned with GeoLab strategy and mission requirements Drive and lead the design
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the design of new experiments. The calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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. Publishing at top venues in AI and responsible AI research (NeurIPS, ICML, ICLR, ACL, FAccT, EAAMO, AIES, CHI, etc.). Designing, building, and iterating prototypes that take their real-world context seriously
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their plan, which is based on predetermined routes, lines, and scheduled times, with little possibility of adjusting to unplanned and unexpected circumstances. On the other hand, delays and disruption
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candidate will design, conduct and analyze human studies linking sleep, stress, arousal and autonomic physiology in both laboratory and real-world settings. A central part of the position will be
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and verbal communication skills in English Workplace Workplace We offer Our organization operates on the principles of interdisciplinary collaboration, innovation, and dynamism. As a valued member of
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havens, the labour-market effects of tax competition, the design and political economy of international tax rules, and the macroeconomic and distributional consequences of international taxation. Project
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description Unity frontend development for Digital Einstein: building AR experiences and maintaining the physical platform; components are designed for reuse across all deployment contexts Python backend
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technologies (phage, yeast, or ribosome display), or cell-based assays is advantageous. Job description Experimentation: design and execute studies to develop and characterize novel antibodies and nanobodies