270 evolution-"https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral research jobs in Sweden
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within the department, and how they stand to contribute to its future development. Further requirements: Strong knowledge and hands-on experience in aqueous battery technologies, particularly iron- and/or
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Children’s Health, Uppsala University. In parallel, you will build a broad network for collaboration and professional development. The Department of Medical Cell Biology at Uppsala University offers a highly
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include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Method development in AI-driven protein design Production
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to the application deadline What you will do In this poisition, you will be central to the development of the project, and also responsible for the implementation, validation and data analysis of the numerical tools
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for scientific development. A central part of the project involves close interaction with partnering research groups, where the compounds and hypotheses you develop will be evaluated through complementary
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, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers
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conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https
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We are looking for a researcher who wants to come to Umeå University and delve into the development of Reductive Catalytic Fractionation (RCF), an advanced biorefining strategy that simultaneously
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collaboration meet. The research topics in the department span fundamental and applied research to contribute to the development of a sustainable society. We are Sweden's largest mathematical department, with
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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