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Field
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PhD project: Modelling Reliability and Resilience of Hydrogen Systems for Improved Safety and Sustainability Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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for candidates who hold a master’s degree (120 ECTS points) in engineering, industrial management, or a related field. You should have a strong interest in maintenance, operations, data modeling, or lifecycle
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samplings in different Mediterranean coastal areas (e.g. Ebro Delta, Balearic Islands, France), the implementation of models to quantify SGD-driven carbon fluxes (based on radionuclides and other tracers) and
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skills in remote sensing, AI, ecological modelling, and policy engagement, working across disciplines and continents. The project includes an industrial supervisor to support non-academic training and
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such as how to adapt to different perspectives and data models as well as ensuring high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by
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position within a Research Infrastructure? No Offer Description Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine
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/onderwijs/opleidingen/phd/admission A curiosity-driven mindset and a passion for doing research. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As
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developing genetics-based models for predicting future tree performance under changing climates. For more information about the departments, visit: Department of Forest Biomaterials and Technology | slu.se
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to neighborhood outcomes. In close collaboration with local stakeholders, experiments will be conducted to test model predictions and interventions. During the PhD, you will: Gain expertise in theory-driven