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their potential impact. The aim of this thesis is to develop automated methods for the real-time detection and classification of solar radio bursts from spectrogram of data. The proposed approaches are required
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that combine molecular biology technologies and bioinformatics algorithms to assemble, annotate, and compare genomes. The METAVIRAL project aims to develop and evaluate a surveillance system based on clinical
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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. Candidates should provide proof of excellence in teaching. They should show expertise in their specific area and experience in Data Science and/or Software development, including academic publications and
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work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
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for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
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, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
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proof of excellence in teaching. They should show expertise in their specific area and experience in Data Science and/or Software development, including academic publications and contributions
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 hours ago
behaviours. Various methodologies have been developed, including physics-informed ML approaches that use numerical modelling to create synthetic datasets (e.g. Tristani et al., 2025). Additionally, approaches