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sollten, nicht übernehmen können. Bewerbung Wir freuen uns auf Ihre aussagekräftigen Bewerbungsunterlagen inkl. Zeugnisse (als 1 .pdf-Datei), die Sie bitte bis zum 31.08.2026 – per E-Mail (Betreff
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10% teaching load and gives you the opportunity to make a start with/work on your teaching portfolio for the University Teaching Qualification. Would you like to learn more about what it’s like
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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
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or complementing traditional physics-based approaches by data-driven ones, using Machine-Learning (ML). Such approaches allow enormous gains of time, in a way that can be related to the astonishing efficiency
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. The research programme addresses the interaction between power, authority, and legitimacy, which it seeks to connect with social movements, protest, and conflict. Please follow the links to learn more
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, sensors and instrumentation. Knowledge of one or more of the following areas:Power electronics, Reliability and failure mechanisms, Sensors and instrumentation, Data analytics, machine learning, or AI
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and sustainabilityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which
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are excited about future wireless and satellite communication systems, we encourage you to apply—even if you do not meet every item in the project description. We value candidates who are eager to learn
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the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago