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28 Jan 2026 Job Information Organisation/Company The Swedish University of Agricultural Sciences (SLU) Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Application
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interest. In our studies, we combine novel observational data with advanced analysis and modelling technique. Who we are looking for The following requirements are mandatory: A doctoral degree or an
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
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to help you settle in. Find more general information about doctoral studies at Chalmers here . Application procedure The application should be written in English and attached as PDF-files, as below. Maximum
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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Swedish, English, Norwegian and Danish can be reviewed. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external
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Biophysics, Umeå University, Sweden. More information about the lab: http://www.carlsonlab.se/ Eligibility and qualifications A person who has been awarded a doctorate or a foreign qualification deemed to be
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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University of Gothenburg, Department of Education, Communication and Learning | Sweden | about 1 month ago
, play, leisure and family life. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral