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Field
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screening approaches. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving
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variety of Earth surface processes. This aim is pursued through a collaboration between the Department of Sustainability and Planning and Department of Electronic Systems. The topic of this PhD position is
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Medicine, Biomedical Science and Technology with more than 150 enrolled PhD students. In addition to getting first class supervision from your supervisors who will guide you in the process of conducting and
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. Empa is a research institution of the ETH Domain. The Laboratory Chemical Energy Carriers and Vehicle Systems Laboratory conducts, develops and optimizes processes for renewable fuels. The group
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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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AI can be incorporated into the building design and operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback
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advanced testing procedure and performs analyses of data. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute to grant proposal development. 1. Ensures
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advanced testing procedure and performs analyses of data. Makes uses of a variety of specialized equipment typical within area of specialization. May contribute to grant proposal development. 1. Ensures
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling
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mechanical problems [1-3]. Special attention will be devoted to the integration of physics-informed constraints in the learning process to ensure robustness, interpretability, and extrapolation capabilities