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effectively with individuals of different backgrounds. May require working evenings and/or weekend hours. Salary: Compensation will be commensurate based on the selected candidate's education and experience
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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to microfluids. The postdoc scholar will have the opportunity to learn different skills, and will work on a project related to the transport of bacteria in porous media and multiphase flow. 25% - Collaborate with
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income
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security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care
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motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment