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authentication and usable security (e.g., biometrics, CAPTCHA); Privacy (e.g., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and
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. The research explores how AI, IoT, digital twins and data analytics can be integrated into early stages of product and production development to enable resilient, circular and long-term competitive solutions
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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, develops, validates, and demonstrates a vehicle-based monitoring system for continuous condition assessment of bridges, where vibration data are collected using trains, buses, and municipal service vehicles
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31 Jan 2026 Job Information Organisation/Company Stockholms universitet Research Field Physics Researcher Profile Established Researcher (R3) Application Deadline 9 Feb 2026 - 22:59 (UTC) Country
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Additional Information Work Location(s) Number of offers available1Company/InstituteStockholms universitetCountrySwedenCityStockholm Contact City Stockholm Website https://www.su.se/ STATUS: EXPIRED X
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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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,” available at https://www.bth.se/english/about-bth/work-at-bth/vacancies . The position requires authorization to work with classified data. Security screening may be conducted on the selected candidate
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public authorities. The work is closely linked to research in bridge monitoring, condition assessment, and data-driven infrastructure management. Data from case studies (inspections, monitoring, and