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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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, 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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workshops. Develop scripts and perform simulations using CFD and FEM software. Write technical reports and publish high-quality scientific papers in international journals and conferences. Qualifications
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analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written
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for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent
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vulnerability discovery and analysis, system building, and program analysis. Candidates should have a strong publication record in relevant conferences, such as those in software engineering, security
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co
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reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities
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in architecture, building engineering, or construction. Experience in modular or prefabricated construction from design to execution. Familiarity with Dutch building regulations, housing requirements
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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