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Field
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This research aims to design a sustainable framework for optimizing distributed computing systems to enhance performance while minimizing energy consumption. Existing scheduling algorithms often
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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/Qualifications Technical Skills: Processing and analysis of large volumes of data from numerical simulations. Parallel programming standards in distributed memory (MPI) and shared memory (OpenMP). HPC
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within a Research Infrastructure? No Offer Description The research program aims to develop models, algorithms, and architectures for implementing Digital Twin-enabled Smart Ecosystems, with a particular
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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Science: Concepts and Algorithms INSY 674 075 Fridays 08:35 - 9:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
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Science: Concepts and Algorithms INSY 674 076 Fridays 14:35 - 15:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 17 hours ago
in one of the following four topics: 1) quantum algorithms for combinatorial, discrete, continuous, stochastic, robust, or multi-objective optimization; 2) hybrid quantum-classical methods, including
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient