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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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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
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and numerical methods ranging from effective field theory, topological solitons, statistical mechanics of the phase transitions, topological systems to modern microscopic quantum many-body techniques
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qualifications for: - specific knowledge and skills within the subject area and related research fields - experience of scientific theory and relevant research methodology - scientific analysis and presentation
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. The assessment shall attach particular importance to documented qualifications for: - specific knowledge and skills within the subject area and related research fields - experience of scientific theory and