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interesting magnetic and electronic ground states. Here, a special focus lies on crystal growth through chemical transport reactions and flux methods as well as X-ray diffraction, magnetometry and electron
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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to benchmark results, validate models against fabricated amplifier designs, and - very importantly - guide technology development Publish results in leading journals and conferences, and supervise PhD students
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well as nuclear physics. This diversity of research topics allows us to connect fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our
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us The High-Energy part of the Theoretical Subatomic Physics group performs research into elementary particle physics from model building and Dark Matter to formal Quantum Field Theory
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model building and Dark Matter to formal Quantum Field Theory. Organizationally we are part of the division of Subatomic, High-Energy and Plasma Physics within the Department of Physics . We have a
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datasets, particularly registry-based or longitudinal data. Familiarity with explainable AI and interpretable machine learning methods. What you will do Conduct independent and collaborative research in
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or longitudinal data. Familiarity with explainable AI and interpretable machine learning methods. What you will do Conduct independent and collaborative research in machine learning and AI for clinical decision
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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involve established software tools, such as: CHEMKIN-PRO for steady one-dimensional simulations of laminar flames with detailed chemistry. CONVERGE for unsteady three-dimensional simulations of turbulent