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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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Organization U.S. Department of Energy (DOE) Reference Code DOE-EERE-RPP-2025-Summer-MEF-Postgrad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO
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** Deployment and optimization of the PFAS analytical toolbox: targeted analyses (LC-MSMS, GC-MSMS), total oxidizable precursor assay (TOPFAS), and non-target screening (NTS, LC-HRMS Orbitrap). Intercomparison
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on the development of experimental biopharmaceuticals in oncology. You will be responsible at completing the data package that is required for technology transfer at optimal valuation. You will work in the
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OPA initiatives, including event coordination, award programs, nomination processes, and the annual OPA report. Manage office resources and establish internal procedures to optimize operational
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, Margo, MPI, libfabric, etc.) Build CI/CD workflows to validate changes across multiple targets Work with system engineers to deploy DataSpaces on HPC clusters and edge nodes Profile and optimize
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. Website for additional job details https://crismat.cnrs.fr/postdoctoral-position-optimizing-the-functionality-of-f… Work Location(s) Number of offers available1Company/InstituteUniversité de Caen Normandie
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surgery. The duties include but not limited to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity
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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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transferring inventions and results into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks You will conduct research