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Field
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, simulation, optimization, and advanced control. The position will play a key role in a major collaborative research effort focused on improving the energy and economic performance of advanced manufacturing
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Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
team of chemists, engineers, and materials scientists to identify sorbent properties, optimize formulations, and test operating conditions for separations. The candidate will also model system
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responsible for chemical synthesis and design of molecules intended to be studied for biological use. This requires an ability to review the literature to optimize protocols, to carry out experiments
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and sustainability assessment
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29 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Mathematics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Do you want to contribute to shaping the future of public transport through mathematics? Join an interdisciplinary research project PRONTO at the intersection of applied mathematics, automatic
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern