204 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" uni jobs at ETH Zurich in Switzerland
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-project will be closely supervised by Prof. Hubert Pausch at ETH Zurich. The second candidate will focus on imputation and association testing. Approaches to impute structural variants into large mapping
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description The aim of this doctorate is to quantify transitions in firn structure, albedo, and temperature of selected glaciers in Switzerland and Central Asia, and determine the consequences of
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group additive manufacturing at inspire offers in collaboration with the Advanced Manufacturing Lab (amlz
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80%-100%, Zurich, fixed-term The Center for Climate Systems Modeling (C2SM) at ETH Zurich is a joint, interdisciplinary center linking ETH Zurich with partner institutions. It provides a technology
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You will work on an ongoing research project on intergenerational mobility in Switzerland which addresses questions of social mobility across multiple dimensions. In particular, the project examines
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earth observation with applied forest monitoring, including tree species identification, forest structural changes, and forest resilience assessments, with a growing focus on spectral and functional trait
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100%, Zurich, fixed-term One doctoral position is available at the Institute for Biomechanics (Department of Health Sciences and Technology). The Institute for Biomechanics is a multidisciplinary
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solutions. Project background Organic redox flow batteries are a promising next-generation technology for large-scale, safe, and sustainable energy storage. Their performance relies critically on the ability
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materials, surgical technologies. Ability to collaborate and communicate across engineering, materials science - chemistry, manufacturing, and clinical teams. Structured, detail-oriented, and rigorous
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advanced deep learning models: Design and implement a multi-branch neural network capable of integrating multiple data modalities into a unified representation. Implement a multi-task learning framework