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activities. The RAI team is conducting fundamental research in all the aspects of robotics with a specific focus on Aerial and Space robotics. The vision of RAI is aiming in closing the gap from theory to real
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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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local structure and composition to catalytic behavior. By bridging atomistic theory and machine learning, the work will help explain activity trends and guide the rational design of alloy catalysts
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inherent complexities. Your role: The doctoral student will conduct research at the intersection of optimization, game theory, and automatic control for complex systems. Their work will encompass both
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content of these processes, studied as a coherent whole. See: https://www.gu.se/en/research/didactic-classroom-studies Phenomenography, Variation Theory, and Learning Study explores questions about how to
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Sweden and internationally. In the Integrated Plant Protection group, we aim to generate knowledge towards the development of sustainable pest and disease management solutions based on conceptual theory
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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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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We are seeking a motivated PhD student in computational materials physics, particularly AI-driven studies of nanomagnetism. The PhD student will work within an active research group in materials theory