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particle physics division at Stockholm University, which currently consists of six faculty members, four researchers and postdocs and seven PhD students. The focus will be on analysis of the high energy
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of PhD thesis work. 5. Contact information for two reference persons. The application should be written in English or Swedish, and attached in Word or PDF format. The application should be registered via
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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communicate outcomes to both researchers and practitioners. The role combines hands-on fieldwork with quantitative analysis and requires an adaptable, self-motivated researcher who can take independent
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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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Associate Professor Florence So and funded by an ERC Starting Grant. General information about the project is available at https://www.florenceso.org/projects/ and https://www.gu.se/en/news/political
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the framework of the ERC Synergy project. For more information see http://qtech.fysik.su.se/ . Main responsibilities The position involves: Design, set up and operation of a cryogenic trapped ion experiment