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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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methods to decipher the transformation of sounds both at the peripheral and central levels. Project summary The aim of this project is to study how information about sound frequency or intensity
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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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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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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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market. A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non
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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