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, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their
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. They are useful for searches of physics beyond the standard model, exploration of many-body physics, and societal applications, such as navigation. So far, clocks operate in a pulsed manner, preparing a
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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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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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6G and beyond. The project combines analytical modelling, system simulation, photonic integrated circuit design, machine learning, and experimental validation using state-of-the-art communication
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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—for the bundles of muons that reach the detectors, and apply them to data and simulations to constrain cosmic-ray composition and hadronic-interaction models. We support you with a rich international collaboration
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. Depending on your background and interests, the emphasis can lean more theoretical (bounds, code constructions, information-theoretic analysis) or more algorithmic (decoder design, simulation, performance
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of any accelerator on Earth. In this project you will turn that signal into cosmic-ray physics: measuring the muon content of air showers, confronting high-energy hadronic-interaction models and
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matching Optical simulations and modelling of multilayer photovoltaic devices Fabrication and characterization of optical coatings and perovskite tandem devices Where to apply Website https