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) of mathematics, mathematical physics or theoretical physics. The successful candidate will have some background in mathematics, particularly topology and category theory, as well as some knowledge of
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of fifteen (15) highly interlinked PhD projects, of which this particular call is for project DC 3: From formal behavioral specifications of chemical systems to their chemical implementation. Systems theory
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Gyrd-Hansen, Professor and leader of STEMBRACE, Ditte Caroline Andersen and collaborate with researchers from various institutes at SDU, Odense. At DaCHE, we apply economic theory and empirical methods
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mathematics, particularly topology and category theory, as well as some knowledge of quantum field theory and path integrals. The successful candidates will be expected to have: MSc degree in mathematics
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
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strain theory and advanced hyper elastic material models incl. anisotropy You preferably have insights into topology optimization and/or finite element analysis and are committed to improving state
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include Master’s-level in Mechanical Engineering, Aerospace Engineering, Control Engineering, Wind Energy, or a closely related field. Strong background in control theory, fluid dynamics, structural
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and the ability to develop relevant theories and methodologies. Strong competencies in product assembly/disassembly, manufacturing, platform design, and robotics Experience with Digital Advanced Product