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research related to developing solutions for disaster management. Machine learning model development, evaluation, and testing. Data collection, analysis, and processing. Creation of ML workflow. Perform
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sales, marketing, and management. The ideal candidate will have a strong background in data analytics, coding, statistics, and machine learning. They should also possess the skills necessary to develop
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speech recognition, speech synthesis, speaker verification, voice conversion, and machine learning. Responsibilities: Develop and implement algorithms for real-time speech anonymization. Conduct research
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, or an accredited Bachelor of Science degree in Computer Science with an equivalent combination of relevant training and experience. Related experience in a military or defense context. Knowledge, Skills, and
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systems. Deploying the complete perception stack on the AVA Jeep's onboard computer and tuning parameters for optimal real-world performance. Superimpose SAM2 and LiDAR road segmentation outputs to enhance
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, research, and public service. Job Description Purpose: The Department of Electrical and Computer Engineering and AggieFab Nanofabrication Facility at Texas A&M University seeks a Postdoctoral Researcher to
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collaboration with private companies and the military. Our lab operates mainly out of the Research Integration Center (RIC) at RELLIS where we have access to a machine shop, outdoor testing facilities (Innovation
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Computer Science, or an accredited Bachelor of Science degree in Computer Science with an equivalent combination of relevant training and experience. Related experience in a military or defense context. Proven
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independently and as part of a team. Work Location: Main Campus – College Station, TX. About Electrical and Computer Engineering: The Department of Electrical and Computer Engineering at Texas A&M University
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communication skills. Ability to manage multiple projects. Work Location: Main Campus – College Station, TX. About Electrical and Computer Engineering: The Department of Electrical and Computer Engineering at