13 phd-data-processing Postdoctoral positions at Chalmers University of Technology in Sweden
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investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration
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6 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Electronics Physics » Other Researcher Profile Recognised Researcher (R2) Country Sweden
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30 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Control engineering Researcher Profile Recognised Researcher (R2) Country Sweden
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6 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Chemical engineering Researcher Profile Recognised Researcher (R2) Country Sweden
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research in theoretical laser plasma physics in a collaborative and dynamic environment. Information about the division and the research The Division of Subatomic, High-Energy and Plasma Physics performs
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge