50 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions at Chalmers University of Technology in Sweden
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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details to references will be requested after the interview. We welcome your application no later than February 28, 2026. For further information please contact: Dr Irina Pettersson , Head of Unit, Applied
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mathematics, optimisation, biomathematics, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research project We will recruit one postdoc in applied
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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details to references will be requested after the interview. We welcome your application no later than February 28, 2026. For further information please contact: Dr Irina Pettersson , Head of Unit, Applied
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FieldEngineeringYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
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… Requirements Research FieldMathematicsYears of Research Experience4 - 10 Research FieldMathematicsYears of Research Experience4 - 10 Additional Information Website for additional job details https
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14445&rmlang
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of Research Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences