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Field
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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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5 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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perturbations stochastiques, associées à des fonctionnelles définies sur des espaces fonctionnels de dimension infinie. L'étude se fera en reliant ces algorithmes avec des équations aux dérivées partielles
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 6 days ago
develops various tools such as the Faust programming language (a DSL for Real-Time audio DSP), Syfala (a tool to facilitate the programming of FPGAs for real-time audio DSP), and FloPoCo (a generator of
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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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, complex systems. Strong communication and writing skills; ability to work both independently and as part of a team. About the team The DATA team develops foundational mathematical and algorithmic approaches
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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been ignored until very recently. The need to provide differential privacy guarantees further complicates the issue because the privacy guarantees must cover the explainability algorithms in
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 11 days ago
precision and treatment decisions. Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built
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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