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Field
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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productions, and finally a transversal axis around transitions. A wide range of research disciplines can therefore be funded through Bienvenüe+ such as: Anthropology, Architecture, Arts, Astronomy, Biological
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specific architectures and surface properties, while developing advanced techniques for the study of their physicochemical properties. The naXys Institute (https://www.naxys.be ) The main objective of naXys
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flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process development in the cleanroom Assemble and use custom test
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they respond to different environmental factors. Integrate cutting-edge genomics and computational analyses to investigate transcriptome, epigenome and chromatin architecture. Learn more: Our benefits , where we
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, architectural or mechanical engineering, physics, applied mathematics.- A strong background in theoretical mechanics and applied mathematics, with an expertise in artificial intelligence. Expertise in design
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, reliability, and security Converged fiber–wireless architectures Within this environment, the project Agentic AI for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying