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security guarantees. In parallel, we will investigate how modern AI techniques can accelerate large-scale formal verification, developing AI proof agents that can maintain, extend and refactor the seL4 proof
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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parameter inference techniques. The role will also involve creating robust, efficient, and reproducible computational code capable of running at scale within high-performance computing (HPC) environments. In
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, computer science, mathematics, statistics, economics, or related disciplines, an interest for the application of operations research in energy systems and strong programming skills. Familiarity with parallel
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to design, develop, and validate a measurement
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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development in the laboratory include Fourier Ptychographic microscopy, time-reversal optical focusing, and parallel microscopy. The Lab is seeking a Research Technician to conduct research in Computational
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Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The research work will be carried out at the Institute of Earth and Environmental Sciences
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these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel computer codes using the Message Passing Interface (MPI). This is
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or operating pipelines for ingesting, transforming, and managing structured and unstructured data. Experience working with high-performance computing resources, including utilizing job schedulers, parallel