200 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" PhD positions in Sweden
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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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well as physically-based hydrological model development. The principal supervisor will be Ylva Sjöberg at Umeå University, and the research involves an interdisciplinary team of collaborators at Gothenburg University
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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 and mode of formation of naturally
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Infrastructure (https://svenskahistoriskapatent.se ). The group’s research centers on inventors, intermediaries in markets for technology, and the development of firms’ innovation capabilities and technology
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School for the Transformation of the Public Sector (https://www.mdu.se/research/graduate-schools/graduate-school-fofos ). FOFOS is coordinated by Mälardalen University and is part of SustainGov (https
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(LTU) is one of Europe’s leading academic environments for mining-related research. To ensure continued development within critical raw materials research, we are now seeking a PhD student in Ore Geology
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environments 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
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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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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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, 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