223 data-"https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs in Sweden
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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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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
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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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an exceptional opportunity to combine experimental animal welfare research, field-based living lab development, behavioural and physiological data collection, and stakeholder-driven innovation. It also offers
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
proteomics analyses. APPLICATION PROCEDURE Please note that the application procedures differ between the two postdoc projects. More information about the application procedures is provided here: https
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of experimental data. You will work in the field of process metallurgy, with activities linked to an international research and development project carried out in close collaboration with industrial partners