15 algorithm-"Multiple"-"U"-"Simons-Foundation"-"University-of-Illinois---Chicago" positions at University of Texas at Austin
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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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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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algorithms Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability
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document complex software applications. Ability to examine the details of complex algorithms. Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to
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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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. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification
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. Responsibilities Designing software applications and algorithms to support remote sensing, geospatial data analysis, and data science applications. Conducting software testing, code reviews, CI/CD, and verification
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with C++. Demonstrated experience with Python. Thorough understanding of object-oriented programming concepts, data structures/design patterns/algorithm performance analysis. Understanding
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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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structure data to test existing algorithms and design improved methodologies for clinical applications. Purpose The Research Engineering Scientist Assistant will support research in AI for healthcare and drug