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experimentally explore their fascinating dynamics. This project consists of an experiment-theory collaboration in which a PhD candidate in Experimental Nano & Ultrafast Magnetism, supervised by Prof. Bert Koopmans
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conceptual history, history of philosophy and science, aesthetics, and philology. It explores: 1. The emergence of ecological thought in 19th-century European evolutionism 2. Its philosophical sources in
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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investigate how bioacoustics and artificial intelligence can be combined to develop automated, non-invasive approaches for assessing dairy cattle welfare. The project will explore how acoustic information
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discontent, including resentment toward elites as well as hostility toward immigrants and minority groups. In this context, the project explores how meritocratic culture is formed, how it shapes exclusionary
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and interactions. "Phenomenology of flavour anomalies in B physics" "CP violation in top-pair production and decay" "Extended Higgs sectors with coloured particles" "Exploration and Visualisation
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explore formulation and processing strategies to improve toughness, reduce embodied energy and eliminate the need for cold‑storage. The project includes four integrated work packages spanning moisture
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crucial but challenging task due to the lack of standardised measurement techniques. The research will explore and refine "indirect" or "bulk" calibration methods, using characterisation machines to match
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software-defined radio. A central theme of the project is co-design across sensing, AI reconstruction, and embedded deployment. You will explore how multimodal models can generate consistent 3D scene
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models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and