93 evolution "https:" "https:" "https:" positions at Chalmers University of Technology
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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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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
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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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, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty
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. WACQT is committed to promoting career development, diversity, and gender equality through networking and supporting activities. The Department of Microtechnology and Nanoscience (MC2) is host
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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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that prevail at very small dimensions, and promote the development of technologies that utilise these phenomena. About the research project The topic of the PhD project will be about tunable self-assembled
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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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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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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