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the understanding of deep latent variables models for unsupervised learning with massive and evolving heterogenous data. Although deep learning methods and their statistical extensions, the deep latent
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enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. In the field of Smart Cities, we lead the operations of the CitCom.ai project. CitCom.ai is
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PyTorch or TensorFlow is a plus. Useful Information/Bibliography: [1] Tian Li, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith. Federated learning: Challenges, methods, and future directions. IEEE
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advice and guidance on the use of existing analysis methods and tools. Keeping up-to-date with the latest technologies and analysis methods. Regularly monitoring relevant literature and publications, and
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partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments
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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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. Successful candidates should have an ongoing research and publication program and teaching experience. In addition to research and teaching, responsibilities include service to the Department and the
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processing. Advanced cryoET sample preparation (correlative approaches, cryoFIB milling) Microbiology, cell biology and/or biochemistry An affinity for methods development and collaborative multidisciplinary
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Sophia Agrobiotech) and LP2M (Laboratoire de PhysioMédecine Moléculaire) as well as the Inria research institute for computer science and applied mathematics. DYNABIO is dedicated to advancing cutting
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contaminations with serious consequences; they are responsible for 40% of cases of food poisoning in France. Until now, the methods for dealing with biofilms have been based on the use of detergent/disinfectant