272 data-"https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in Sweden
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Information Work Location(s) Number of offers available1Company/InstituteKarolinska Institutet (KI)CountrySwedenCityHuddingeGeofield Contact City Huddinge Website https://ki.se/en/about/jobs-at-ki STATUS
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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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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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, 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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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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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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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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,” 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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retrainable pipelines, model-wrapping services, LLM prompting logic, data pre/post-processing components, and explainability hooks. As a postdoctoral researcher, you will be a key member of the research team
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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