278 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "UNIV" "UNIV" Postdoctoral positions in Sweden
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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=14695&rmlang
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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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, 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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1 Feb 2026 Job Information Organisation/Company Högskolan Väst Department University West, Department of Mechanical Engineering Research Field Technology » Production technology Researcher Profile
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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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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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physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations
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6 Mar 2026 Job Information Organisation/Company Luleå University of Technology Research Field Other Researcher Profile First Stage Researcher (R1) Application Deadline 3 May 2026 - 12:00 (UTC
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31 Jan 2026 Job Information Organisation/Company Lunds universitet Department Lund University Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Application
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification