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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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. The aim is to understand how cohesin dosage and dynamics impact chromatin topology and adipogenic transcriptional programs, and how different cohesin variants contribute to the establishment and maintenance
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leads to inefficient operating points, poor maintenance causes equipment degradation and energy waste, and sloppy or absent commissioning results in poor system balance and underutilized energy-saving
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learning, operations research and optimization, developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
techniques, including STM, XPS, AES, and TPD. Essential to the role is demonstrated proficiency in the operation, troubleshooting, and long-term maintenance of complex ultra-high vacuum instrumentation