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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Science Engagement Section in the National Center for Computational Sciences
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Computer Science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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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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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization