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on applying computer vision, machine learning, and sensor fusion to automatically detect, classify, and localize defects, improving the scalability and reliability of building inspection. Research on 3D
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Job Description The Vlaisavljevich Lab (https://ultrasound-lab.beam.vt.edu) is looking for a part-time research assistant to explore the use of focused ultrasound (FUS) for biospecimen processing
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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. Experience in molecular modelling, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level
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: signal processing, advanced data analysis, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees