196 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" PhD positions in Sweden
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and organisational structures within manufacturing and supply chain environments, with the aim of strengthening system performance, agility and sustainability. TVCM focuses on the development
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You apply through our recruitment system on 30 March 2026, at the latest (https://umu.varbi.com/en/what:job/jobID:905098/ ). The application, written in English, should include: A short (max 2 pages
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of the results Development of the methods You will be given extensive creative space to develop the project, significant resources to produce cutting edge results, and you will profit from being part of our highly
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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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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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time will be devoted to your own research. As a researcher, you act as a neutral party in various contexts, which provides a great opportunity to learn how to lead challenging development projects. As a
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the mechanical properties of conjugated polymers and on the development of spinning processes for the manufacture of conducting polymer fibers for wearable electronics. A summary of the research field can be found
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(metabolomics, proteomics, microbiome, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data
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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