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to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA) and Mild autonomous
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training network and aims to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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Norwegian AI centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public
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special focus on energy micropiles. The Geotechnical Engineering Group and is well known for its work in the field of quick clays, slope stability, energy geostructures and advanced numerical methods
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Group is well known for its work in the field of quick clays, slope stability, energy geostructures and advanced numerical methods. The group has a modern geotechnical laboratory as well as drill rigs and
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plan proposal for academic supervisor(s) The project description must describe the topic, research question, theoretical basis, and choice of method. In addition, you must provide information about your
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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candidate will possess a strong theoretical and practical understanding of error correction, information theory, and quantum information theory. In addition, a solid background in the mathematical methods and