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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications: Potential for or experience with writing grant proposals to funding agencies. About
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new brain stimulation methods, you will contribute to developing closed-loop algorithms for regulating brain dynamics with clinical applications in epilepsy and psychiatric disorders. Number of awards
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applications for multiple tenure-track, full-time (9-month), benefits-eligible faculty positions beginning in Spring 2026 (January) or Fall 2026 (August). The successful candidate will teach and conduct research
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
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geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer metrology