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position is available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in
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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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materials in extreme conditions. https://gaelgrissonnanche.com/ Key Responsibilities Engineer Novel Thermometers: Design and nanofabricate innovative thin-film thermometers in cleanroom. Perform High
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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voiture pour leurs trajets domicile- travail,” https://www.ouest-france.fr/economie/transports/voiture/les-trois-quarts-des-francais-continuent-dutiliser-la-voiture-pour-leurs-trajets-domicile-travail
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combine teaching and research responsibilities, with a primary emphasis on teaching. Engagement in professional clinical activity will be considered an asset. Candidates will contribute to the development
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contribute to the development of leading experimental research in magnetic sensing and spin-electronics-based devices. Main responsibilities: • Develop an original and ambitious experimental research programme
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Contribute to specific project deliverables as required Contribute to the development of innovative discipline-specific services and tools relevant to research data Contribute to the development of training
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foundation in spintronics, with a particular emphasis on magnetic memories and sensors. The ideal candidate should possess a PhD and have substantial research experience in the development of magnetic tunnel
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music