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Field
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holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
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développement de nouveaux matériaux magnétiques composites et d'inducteurs de puissance intégrés à noyau magnétique à base de ces matériaux, qui seront utilisés pour mettre en œuvre des IVR à haute fréquence et à
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Multi-Omics Tools Requirements: Applicants should have a first or upper second-class honours degree from a Higher Education Institution in the UK or acceptable equivalent qualification. International/EU
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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materials. The computer modelling of LSP remains challenging due to its multi-physics and multi-scale nature. The dependency of the process on the shape of the laser pulse, its energy, ablation layers etc. is
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Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data from an AI-Camera System (Long Live the Dairy Cow) Applicants are invited for a PhD fellowship/scholarship at Graduate
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Funding Source: Warwick Industrial Fellowship (WIF) in partnership with Hydrograph Eligibility: UK only Supervisors: Professor Tony McNally, Dr Fengzai Tang Supporting Company: Hydrograph (see Home - HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a...
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of novel composite magnetic materials and package-embedded power magnetic core inductors based on these materials, which will be used to implement high frequency and high efficiency IVRs for HPC applications
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely