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                research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as well as nuclear physics. This diversity of research topics allows us to connect 
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                the division and the research The Division of Subatomic, High-Energy and Plasma Physics performs research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma 
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                physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining 
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                the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software 
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                combine advanced remote sensing and 3D data with ecological theory to deepen the understanding of the role of tree architecture in forest ecosystem vitality. About the position Global warming has triggered 
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                of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory to real life, while 
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                28 Oct 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Mathematics » Applied mathematics Mathematics » Geometry Physics » Computational physics Physics 
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                position will be based within the Physical Resource Theory Division and the Department of Space Earth and Environment . The Physical Resource Theory Division conducts research and provides education on 
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                processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability 
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                data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate