12 linked-data-"https:" "https:" Postdoctoral research jobs at Chalmers University of Technology
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Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
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3 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Recognised
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Computer and Network Systems
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking
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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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FieldEngineeringYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s
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, and advanced computational modelling, the research will identify personalized metabolic response patterns and their links to disease risk. The ultimate goal is to develop data-driven strategies
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. Within the Division of Applied Mathematics and Statistics , research spans computational mathematics, optimisation, biomathematics, statistics, and data science, with sustained links to engineering, the
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internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven