192 evolution "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in Sweden
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government-funded strategic research area in IT and Mobile Communications. Read more: https://elliit.se/ We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co
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. Where to apply Website https://su.varbi.com/en/what:job/jobID:912130/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldChemistryYears
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as event occurrence patterns, mark behaviour, and interactions between events, to vary locally in space and evolve over time. The research will include model development, statistical inference and
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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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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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for mining-related research. To ensure continued development within critical raw materials research, we are now seeking a PhD student in Ore Geology. Subject description Ore Geology includes the use, setting
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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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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 the interface
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they stand to contribute to its future development. Terms of employment Permanent employment with start on February 1st, 2026. Full time. Contact person: Prof. Tönu Pullerits, tonu.pullerits@chemphys.lu.se
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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