13 computer-vision-and-machine-learning Postdoctoral positions at Texas A&M University
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. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data, and perform other computer related tasks. Ability to multitask and work
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collection, data organization, and project execution to publication. Other Duties Other duties as assigned. Additional Information Machines or equipment used in the performance of essential duties Computer
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statistical software & machine learning (e.g., R, Python, SAS, or STATA). Experience working with large population dataset (e.g. EHR, claims data). Background in health informatics, population health research
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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, integrates, and evaluates innovative solutions in autonomous systems, including artificial intelligence (AI), machine learning, robotics, control systems, sensing technologies, and related disciplines
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, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine learning, reinforcement learning, surrogate models
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of computing-integrated STEM education, AI-supported learning, and design-based research. The postdoctoral research associate will assume increasing independence in completing project activities and deliverables
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are seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. The position focuses on the development and application of advanced deep learning
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/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
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broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or