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advanced computing, optimization, and data analytics technologies. The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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. Lead the build of and optimization of Turbo Lab’s registration & program submission software. Primary contact for contracting, editing, troubleshooting, and technical support in event platform, Aventri
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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Job Summary Responsible for supporting mission-critical enterprise and departmental systems by installing, configuring, maintaining, and optimizing IT infrastructure, including Microsoft Windows
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- “Advancing UAV based low-altitude logistics: a network-based optimization framework for Hong Kong”. Qualifications Applicants should have an honours degree or an equivalent qualification. Preference will be
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher
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associate will integrate and develop optimal transport theories and computational methods for the forward and inverse modeling in these applications. We are not accepting applications for this job through