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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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position is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. Project background The project aims to develop a conceptually
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recruiters and not by artificial intelligence. We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change
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-native plant species in mountain ecosystems based on a novel global dataset. In addition, the candidate is expected to join field campaigns in the Swiss Alps and will have the opportunity to develop
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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opportunities to develop their skills in scientific communication through presentations at conferences and writing scientific papers as well as in management by co-supervising bachelor and master thesis
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle challenging diseases. The successful