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. The programme is characterized by methodological and theoretical diversity. The training component consists of 30 ECTS credits and will support the work you do in the research component (the thesis
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Materials, mastering scientific machine learning, uncertainty quantification, and high-performance computing. Your models will inform fusion design and advance AI-for-materials. Perfect for physics, maths
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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supervisors. You will also collaborate in team projects within the research programme and have opportunities to participate in the XYX Lab’s international research community. This position has a two-stage
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available in the further tabs (e.g. “Application requirements”). Programme Description The travel grants are intended to assist young US citizens or permanent US residents who write their doctoral theses and
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High Performance Sport Industry PhD Scholarship The proposed PhD will investigate the physiological, tactical, and fatigue-related determinants of performance in elite female 3x3 basketball, addressing major gaps in a field largely informed by male or mixed-sex research. Through an integrated...
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Semiconductors are key enablers of virtually every aspect of modern society from smart phones and computers to energy generation, communications, AI, defence, transport and healthcare. Without
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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). This grant will fund the PAtient-Centred Evaluation of medical devices (PACE) program for the next 5 years. The PACE project aims to improve how medical technologies are assessed by involving patients and
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves