283 web-developer "https:" "https:" "https:" "Fraunhofer Gesellschaft" Postdoctoral positions in Sweden
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. Through excellent research, innovation, and education, we contribute to the development of future industrial value chains. The Division of Product Development conducts research and education in innovative
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-bearing intrusions that could underpin building a resilient and sustainable rare earth value chain from domestic sources. The project seeks to develop and refine flotation strategies tailored to eudialyte
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aim to develop methods for local transformation of the built environment and organisational development. The outcome is expected to be academic publications in high-impact journals and implemented
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motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14336&rmlang=UK
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framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main
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sector is maintained and further developed in Sweden. Research within COMPEL spans the entire battery value chain: materials research, research on new cell concepts and cell manufacturing, battery systems
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Description of the Research Environment The postdoctoral position forms part of an initiative to further develop a research environment linked to the ongoing interdisciplinary project “Ancient
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works with the rapidly growing area of developing conditions and techniques to protect future AI-based systems. The center is led by Linköping University with Lund University as a partner. Work duties
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, graph theory and more to characterize biomolecular systems. The project is predominantly an applied project focusing on protein characterization; however, there is a possibility for method development
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age