183 evolution "https:" "https:" "https:" "https:" "ESPCI Paris PSL" PhD positions in Sweden
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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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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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, intellectual property, peace and development studies, landscape architecture, and science and technology studies. We embrace inter- and multidisciplinary approaches to research in conversation with other
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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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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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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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, 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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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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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive models and digital decision-support