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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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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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counts) and several areas are ranked in the top 70, including high-performance computing (#12), operating systems (#11), databases (#29), computer architecture (#46), embedded & real-time systems (#54), AI
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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
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. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture for analog CIM accelerator Develop efficient mapping schemes
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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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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital
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accelerator design for future neuromorphic accelerators. The candidate will work on the following: Designing efficient analog CIM architecture using emerging memristive devices Develop system architecture
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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking