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14 Dec 2025 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Country Sweden
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FieldMathematicsEducation LevelPhD or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https://www.lu.se
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scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https
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of Research Experience4 - 10 Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https://www.lu.se
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experimental research at the Niels Bohr Institute, with a focus on semiconductor nanowire materials, cleanroom fabrication of nanodevices, and electrical characterization, including low-temperature transport
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quality, greenhouse gas fluxes, and emergency response capacity. Yet, current modelling approaches are incapable of inference from diverse sensory data, too computationally demanding for real-time use, and
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from the online interview will be invited to a half-day on-site assessment in Week 10. For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
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the established national network comprising the four Wallenberg Centres for Molecular Medicine at The University of Gothenburg, Lund University, Linköping University, and Umeå University, as well as SciLifeLab in
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of Technology, Chalmers University of Technology, and the synchrotron MAX IV Laboratory at Lund University. RECEM is funded by the Swedish Research Council and coordinated by Umeå University. The doctoral
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dynamics in urban environments. Gas dynamics shape air quality, greenhouse gas fluxes, and emergency response capacity. Yet, current modelling approaches are incapable of inference from diverse sensory data