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of piezoelectric and Weigh-In-Motion (WIM) sensors Electrical engineering and electronics knowledge Program coding and software development skills including Machine Learning and AI algorithms Knowledge, Skills, and
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data analysis for metal additive manufacturing (AM). This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design algorithms for vehicle guidance and control in an undersea environment, including signal
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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* Design, implement, and evaluate wireless-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide
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Position Summary: The Sensor and Software Division is seeking a Software Engineer with a background in systems development to join our team. The ideal candidate will have a strong foundation in
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learning/deep learning algorithms for building programs and automated solutions for research processes in accordance with the research project requirements. Assists, oversees, and troubleshoots the lab