20 algorithm-development-"Multiple"-"Prof"-"St" positions at University of Texas at Austin
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Laboratory (SISL) is seeking a motivated individual to support research and development tasks relating to software development, algorithmic development and data analytics for RF networks. This may include
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&D Signal and Information Processing Software Developer will support software development and integration of real-time mid-frequency active sonar processing capabilities, including algorithm design
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seeking a motivated individual to support and potentially lead research and development tasks relating to data science, machine learning, and algorithmic development related to RF networks. This may include
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. Responsibilities Identify, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking
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, research, and develop autonomy algorithms that use sonar data operating in complex environments to avoid obstacles, aid multi-agent decision making and dynamically replan current tasking and sorties. Design
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, array data, propagation data. Develop processing algorithms and assess their performance. Interpret results. Implement research grade software and analysis tools in Matlab including underwater
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Lab SISL) is seeking a motivated individual to support research and development tasks relating to software development and data analytics for RF networks. Responsibilities Writing flexible and
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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 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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teams. Identify, research, and develop algorithms to exploit information in various sensor systems Analyze and develop models of signal processing outputs to support system understanding Present results