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, Computer Science, or other related discipline. Experience in at least one of the following: RF networks, RF network data, network simulators, wireless networks Experience using Python for algorithm
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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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machine learning algorithms for application to sonar and underwater acoustics, as well as the accompanying data analysis to effectively characterize their performance in the Advanced Technology Laboratory
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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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, such as algorithms, web applications, cybersecurity, and topics related to artificial intelligence, computer systems, and UI/UX. We have opportunities to teach classes dedicated to CS majors as
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software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities
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. The successful candidate will have a primary appointment within one of eight program areas within the Department of Curriculum and Instruction: Bilingual/Bicultural Education, Cultural Studies in Education, Early
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existing algorithms and design improved methodologies for clinical applications. Purpose To support research in AI for healthcare and drug discovery by conducting data-driven experiments and developing
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integration tasking on new undersea systems using sensor technologies alongside embedded computers running Linux-based operating systems. Responsibilities Software Development Lead: Work closely with project
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of the system Other related functions as assigned Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or other related discipline. Demonstrated experience