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Field
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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maintenance and asset management strategies. The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment
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describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess
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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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deployed. The research will therefore combine qualitative fieldwork with computational modelling to develop approaches that operate under uncertainty, adapt as the landscape changes, and generalise beyond
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mathematical modelling excellent research capability and communication skills Candidates shortlisted from the EOI stage will be invited to discuss specific project ideas via Zoom prior to submitting a formal PhD
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at the intersection of acoustics, physical modeling, voice and health. During the PhD you will build a sought-after profile spanning acoustics, signal processing and clinical application, in strong demand in both