194 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" PhD positions in Sweden
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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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to the development of more robust and efficient biogas systems and to the broader transition toward a sustainable, circular bioeconomy. Qualifications: We are looking for a candidate who is engaged, curious, and
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cybersecurity lab, vulnerabilities in isolated systems are analyzed to pioneer new research methods and train both students and professionals. More about cybersecurity research at LiU: https://liu.se/en/research
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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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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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methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography
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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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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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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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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