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. This PhD aims to address research questions such as how can AI and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase
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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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provide excellent teaching and research across the full breadth of the sciences, contributing to solutions for major societal challenges. Our eight institutes, ranging from mathematics, computer science
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and will be supervised by: Main supervisor: Dr. Rik Mom, Leiden University https://www.universiteitleiden.nl/en/research/research-projects/science/operando-research-in-electrochemistry Co-supervisor: Dr
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comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case
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research; You will present your work at international conferences for academics, policy makers, and educators. Where to apply Website https://www.academictransfer.com/en/jobs/362930/phd-a-multimodal-analysis
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in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate adoption
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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tolerant spotsize converters for Photonic Integrated Circuits. Validate models through experiments and enable fast and accurate design Collaborate closely with process, PDK, and PIC design teams and
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modelling results into long-term biodiversity impact indicators and characterization factors for offshore wind farms over their operational lifetime. Developing integrated cumulative impact and scenario