309 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" research jobs in Sweden
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research within Unmanned Traffic Management (UTM). In this role, your primary responsibility will be the hands-on development of advanced simulations and prototypes that help us test and validate new UTM
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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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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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. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:887298/ ) and submitted by the deadline 18 March 2026. Please apply at with
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Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration with the project’s Principal Investigator, and practical implementation of this research with
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to act as references. A brief research statement (1-4 pages) outlining your research interests, including previous work and independent research plans. Applications to be made at https://web103
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for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:907631/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD
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. 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&rmjob=14695&rmlang
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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