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candidate will be self-driven, an excellent communicator, have a strong background in digital and model-based engineering in defense or commercial applications. The position will support multiple clients
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100%, Zurich, fixed-term We invite applications for a PhD position on Data-driven and hybrid hydrological modeling co-supervised by Manuela Brunner (ETH Zurich, WSL) and Olivia Martius (University
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to: Complex systems modeling and analysis Digital transformation technologies (e.g., digital twins, IoT, cyber-physical systems) Data- and AI-driven decision-making, analytics, and intelligent systems
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experience in data-driven modelling and a strong interest in large language models (LLMs) and their application to scientific and engineering workflows. Solid foundations in mathematics, engineering, or a
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of the Candidate: Completed a PhD in engineering, applied physics, applied mathematics, or a related field. Strong quantitative skills and modeling Advanced coding skills Fluent (oral and writing) in English Enjoys
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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the humanities, social sciences, sciences, and health sciences. The Head of Pollack Library provides strategic leadership for this branch, overseeing a broad range of mission-driven services including research
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100%, Zurich, fixed-term A World-Class Research Environment at the Intersection of Neuroscience and Technology The Neural Control of Movement Lab led by Prof. Dr. Nicole Wenderoth and Brain-Body
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support research activities in power system resilience optimization and asset health modelling. The role focuses on developing data-driven and physics-informed analytical models to enhance reliability, risk
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WMG, we are undertaking research into how traditional Li-ion battery cell design can be optimised through the application of systems engineering, component modelling and data science. Creating new