923 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions in Sweden
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Sweden North project you will join an academic team working in close collaboration with industry partners to further develop Sweden’s space sector in the field of research, development, and testing
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entrepreneurship, we foster an innovative spirit, 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
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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-university-of-technology/2026
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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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study of humans as social beings with an emphasis on the development, organisation and change of societies over time. The research specialises in the examination of the history of technology at
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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=14708&rmlang
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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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application date: 2026-03-19 Where to apply Website https://academicpositions.com/ad/kth-royal-institute-of-technology/2026/researc… Requirements Research FieldComputer scienceYears of Research Experience1 - 4
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development, testing and application of the LPJ-GUESS biosphere model for modelling tropical wetlands and estimating tropical methane emissions. The work is part of the EU-funded project IM4CA (https://im4ca.eu
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io