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. Support workforce development and training programs associated with the center. Teach occasional undergraduate or graduate courses within the Rail Transportation Engineering (RTE) program when needed
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develop and implement strategic and operational procedures that advance the cybersecurity community’s effectiveness. Our work includes regular collaboration with sponsors and partners to design, evaluate
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design methods. Understanding of geospatial variability in geological or rock mass properties, including spatial correlation, anisotropy, and heterogeneity. Familiarity with machine learning/AI techniques
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reporting of methods, data, and results. Design, develop, and evaluate machine learning and AI methods for the rat-to-atlas mapping pipeline, including ML-based image registration, segmentation, and feature
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urban hydrometeorology, climate modelling, heat-health interactions, and water-sensitive urban design? Do you want to work on a high-impact, international project that translates urban hydrometeorological
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climate and hydrometeorological modeling, urban biometeorology, and climate-sensitive urban design? Do you want to pursue a PhD study that translates advanced urban (bio)climate and hydrometeorology
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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are the same. You will have the opportunity to share your ideas, develop yourself professionally, and acquire new skills. Innovation and collaboration are at the heart of our work. You will be part of
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Join us in the University of Exeter’s Centre for Metamaterials Research & Innovation – the heart of the UK Metamaterials community. You’ll be part of the £20 million EPSRC MetaHUB – the UK’s largest
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how