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this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas
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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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professionals in globalisation research. It qualifies them for employment, among others, in international organisations, in the field of conflict management, prevention and resolution and early warning (as
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organisations, and schools to co-design practical strategies and supports that enhance physical literacy–aligned practice. These may include coaching prompts, planning tools, professional learning modules, and
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11 Jul 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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8 Jul 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Biotechnology and Food Science Research Field Chemistry Researcher
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17 Jul 2026 Job Information Organisation/Company Wageningen University & Research Research Field Engineering » Water resources engineering Environmental science » Water science Researcher Profile
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design and characterise reconstruction methods—both machine-learning-based and traditional—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray
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mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route layouts, and understand spatial relations. However
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for MPhil). The duration includes an extension of up to 6 months (PhD) or 3 months (MPhil) if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. You will receive