40 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" Postdoctoral positions in Switzerland
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                avenues for their exploitation in next-generation technologies. Job description The researcher will be responsible for developing unconventional computing based on the behaviour of arrays of nanomagnets 
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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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                . Empa is a research institution of the ETH Domain. The Laboratory for Mechanics of Materials and Nanostructures in Thun explores the possibility of high throughput materials development. In the context 
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                excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Working, teaching and research 
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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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                -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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                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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                . 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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                Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months agomethods 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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                . Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a