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Field
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to teach CS 311: Data Structures and Algorithms. This 16-week course will be taught in-person, from 8/31-12/12/26, schedule TBD. Course Description Teaches a thorough understanding of several advanced
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, interpret what they observe, and decide where to fly next. The role spans the full path from algorithm to flight. The Engineer will develop perception and decision-making algorithms, integrate them with
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: Nonexempt Work Schedule: Flexible Summary The intern/aide will receive training on machine learning algorithms, implementing them, and fitting them on the datasets in the cluster computers. Overall
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 21 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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, underwater acoustic communications, and the coordinated operations of multiple undersea underwater vehicles (UUVs). The Signal Processing Department serves as a hub for the development of processing algorithms
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Description Summary The Undergraduate Learning Assistant (ULA) is support instruction of CPSC 350 Data Structure and Algorithms. The ULA will hold weekly office hours, assist students during class sessions, and
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 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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experimental datasets, image series, or complex spectroscopy using languages such as MATLAB, Python, C++, or equivalent tools (e.g., Abel inversions, tomographic algorithms). Ability to design, troubleshoot, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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. Broad knowledge of statistical, mathematical analysis, computer algorithm, programming, and database theory and methods. Knowledge of molecular biology preferred. Experience using UNIX/LINUX and high