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This research involves conducting fundamental and applied research in the field of Robotics and Autonomous Systems (RAS) and Artificial Intelligence/Machine Learning (AI/ML). The fellowship position is based
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, data processing and report generation will be the activities performed to accomplish the project objectives. Learning objectives will include performing data collection with NETL's unique suite of non
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. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27
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for developing advanced monitoring solutions, creating in silico computer models for mimicking human physiology in trauma, and automating ultrasound image interpretation through deep learning model development
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parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential to improve the effectiveness
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because of the large parameter space and interdependence of different variables that affect the desired performance. Artificial intelligence and machine learning models have demonstrated the potential
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for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets
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research findings Learn and develop biology and wet chemistry skills Participant in experiments and processes such as bacterial cultivation and enumeration, dilution/standards preparation, and analyzing