12 evolution-"https:" "https:" "https:" "https:" "https:" "Caltech" Postdoctoral positions at Empa in Switzerland
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films through innovative deposition processes and high-throughput materials screening. The opportunityContribute to groundbreaking research on accelerated thin-film and process development for emerging
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innovative deposition processes and high-throughput materials screening. The opportunity Contribute to groundbreaking research on accelerated thin-film and process development for emerging applications such as
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details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa
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efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims
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Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. The research project focuses on the development of solid electrode composites, so-called
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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
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. The research project focuses on the development of solid electrode composites, so-called boosters, for next-generation redox-targeted flow batteries. In these systems, soluble redox mediators dissolved in
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by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep understanding of the background physics of beam
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. Your contribution Application and further development of 3D digital histopathology by X-ray phase contrast micro-CT Development of image processing and ML tools and models for the automated