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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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experts across system software, power management infrastructure, performance characterization, networking, and novel computer architectures and accelerators. It will also involve collaboration with leading
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: Innovate in vacuum systems, laser stabilization, and real-time control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics
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knowledge graphs into a simulation-as-a-service middleware. Performing software engineering and data management tasks in support of the realisation of this architecture. Exploring and evaluating different
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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Bachelor’s or Master’s degree with relevant background and knowledge in civil engineering, mechanical engineering, architecture, computer engineering, or a related discipline. 2. Proficiency with 3D BIM
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of researchers, technical professionals, and software developers focused on conducting research in world-class facilities and deploying science-based knowledge in real-world applications. The position supports
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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Science, with a solid background in Software Engineering and Distributed Systems. She/he must also have a (very) good knowledge and interest in Cloud/Edge computing. Knowledge in distributed/cloud storage systems