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Electroweak measurements with the ATLAS Experiment
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University College London, this role offers the opportunity to contribute to cutting-edge research on dietary change, environmental, health, and economic impacts of food systems. Working with Dr Marco
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Spatially-explicit multi-model ensemble methods for marine ecosystem prediction (C3.5-MPS-Johnson)
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Beyond the clinic: precision monitoring of facioscapulohumeral muscular dystrophy with digital health technology (C3.5-MAC-Bonci)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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Mitigating Healthcare Misinformation: Fact-Checking Spoken Medical Claims Using Textual Evidence (S3.5-COM-Zhang)
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Metalworking Fluid Life: Predicting Productivity and Degradation via a Digital Twin (C4-AMR-Secker)
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Rail Grinding Performance Mapping using Novel Rail Surface Quality Characterisation (C3.5-AMR-Taylor)
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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AI-Driven Facial Movement Analysis for Early Stroke Identification in Pre-Hospital Settings (S3.5-COM-CChen1)