84 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at Chalmers University of Technology in Sweden
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- for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations, results and breakthroughs. We
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Biochemistry advances multiphase flow and separation science to accelerate industrial innovation and implementation. About the research project This project focuses on the development of quantum–classical
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see www.scilifelab.se/data-driven . During 2022-2024
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wider society. Chalmers was founded in 1829 and has the same 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
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targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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international academic institutions and 14 industry partners (https://euraxess.ec.europa.eu/jobs/401249 ). We work together in the field of fluid-structure interaction in technical systems and industrial
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for the future industry in a sustainable society. Through excellent research, innovation, and education, we contribute to the development of future industrial value chains. In the division of Computational
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to the development of a bio-based, sustainable society. In particular, we focus on microbial processes and enzymes acting on renewable biomass. The division has an extensive instrument platform for analytics
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strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see www.scilifelab.se/data
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collection in real-world settings as well as controlled user studies, alongside the development of new theoretical models of human-robot communication. The PhD candidate will be supervised by experts in