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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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. The supervision team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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embed user-defined conditions and structural constraints directly into machine learning routines to achieve high-resolution 3D interpolation of rock mass properties. These synthesized geotechnical fields
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Doctoral Programme Motivation to get proficient in Python Interest in sustainability science and strong incentive to learn Industrial Ecology methods, especially LCA analysis. Proven analytical and
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and strong incentive to learn Industrial Ecology methods like LCA analysis Proven analytical and computational capabilities, in courses and or/thesis deliverables Proven written and oral English
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and openness to learning new methodologies and techniques. Commitment to research integrity and ethical conduct in scientific investigations. Strong problem-solving abilities with a creative and
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cultural, sports and leisure activities. A healthy mix of medium-sized businesses and global players, high-tech and trade, and innovation and tradition makes Ulm and the greater Ulm area one of Germany's
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volume of more than 250 billion EUR annually, the field of optics and photonics is one of the most important branches of the high-tech industry. The Karlsruhe School of Optics & Photonics (KSOP