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Field
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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prediction, most current models still describe proteins largely as static structures and do not fully capture the conformational ensembles that underlie protein function. This PhD project aims to address
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position – Understanding the chemical activity of air pollutants in field measurements using laser spectroscopy Human
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, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict
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implemented in a real breeding context. Apply advanced genetic and bioinformatic tools to build a predictive model of how environmental conditions, in the context of climate change, affect yield and yield
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experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial role in understanding and communicating environmental issues
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commissioning and adaptive control. The PhD candidate will develop methods for the ongoing, automated adjustment of controllers, sensors, actuators, and associated control hardware. Rather than one-time
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building