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deployment by enabling quick data collection, calibration, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control and policy optimization techniques. We're
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equipment, manage samples, and ensure lab safety while contributing to innovative projects. What You'll Do: Fix, embed, section, and stain tissue samples (H&E, IHC, and specialized stains). Operate and
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monitoring. FGT v3.0 will integrate technological advancements with AI to enhance personalization for patients and improve clinical efficacy. The PhD candidate will build the secure technical foundation
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incl. lab books, protocols and research documents Onboarding support of new lab members incl. organization of bench and desk, basic equipment, security and biosafety instructions, lab tour Organization
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on the working percentage, educational level and experience in accordance with ETH Zurich standards), social security benefits and other benefits from ETH Zürich. chevron_right Working, teaching and research
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compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical
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, safety, and societal acceptance of CO₂ injection into Switzerland's subsurface. Time-lapse seismic-reflection imaging is the primary tool to image the CO₂ plume and its migration through the subsurface
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stress and threatening food security. As the restaurant sector continues to grow, its higher waste volumes and easier supply chain potential compared to households make it a strategic intervention point
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service providers operating in high-demand sectors including offshore wind, oil and gas, but also maritime security, demining (UXO, MCM) and search & rescue. As an ETH Zürich Spin-Off, we are a fast-growing
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high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints. The Opportunity The Early