149 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Chalmers University of Technology
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European Universities in several EU aviation projects About the research project EXAELIA The project is related to the development of future aircraft concepts and propulsion technology that has
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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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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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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 this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14691&rmlang=UK
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, learning and outreach. The research topics at the department span from fundamental to applied research with the aim of contributing to the development of a sustainable society. A wide range of experimental
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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
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machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive models and digital decision-support
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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