28 evolution "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Chalmers University of Technology in Sweden
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degree, obtained within the last three years prior to the application deadline Experience of teaching at undergraduate or master’s level, and an interest in further development within teaching and
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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
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tremendous potential to realize this vision. However, its large-scale implementation requires the development of new, scalable, precious-metal-free electrode materials. We are seeking a highly motivated
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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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degree, obtained within the last three years prior to the application deadline Experience of teaching at undergraduate or master’s level, and an interest in further development within teaching and
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bacteriology, we work with applications of various nanomaterials in biomedicine and biotechnology, metabolic engineering of microbial cell factories and experimental evolution. Our work is focused on societal
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heat or pressure, to transform reactants into products. Electroorganic synthesis offers tremendous potential to realize this vision. However, its large-scale implementation requires the development
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to the development of a sustainable society. We are Sweden's largest mathematical department, with around 200 dedicated staff, including 65 PhD students . We are a joint department between Chalmers University
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This project 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