43 algorithm-development-"Multiple"-"Prof"-"UNIS"-"University-of-South-Eastern-Norway" positions in Switzerland
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you creative, curious, and motivated to optimize, develop, and implement new ideas? If so, you are
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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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. 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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, 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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recruitments (summer and winter) and work closely with the Biozentrum group leaders to maintain and further develop the high-quality standards of our PhD program. You will independently organize and oversee
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for a PhD Student in Fabrication of Quantum Devices Your tasks Development of scalable fabrication methods of quantum nanostructures and devices using EUV lithography and e-beam lithography Close
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from this research inform the development of new diagnostics, treatments, and vaccines against malaria, tuberculosis, schistosomiasis, Chagas and other neglected tropical diseases. Are you excited by
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experiments. About the Project Our group has pioneered the development of the Nanopore Electro-Osmotic Trap (NEOtrap), a groundbreaking technique that enables label-free trapping and sensing of single proteins