522 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Texas A&M University
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Bay and was ranked #1 College by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities. Learn more
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Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying
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driving simulators (e.g., CARLA, SUMO) or robotic simulation environments (e.g., Isaac Sim, Gazebo). Experience with ROS or ROS 2. Experience with PyTorch or other machine learning frameworks. Hands
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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Staff (Fixed Term) Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Station, Texas Job Type Staff Job Description Our Commitment: Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives
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Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Job Title Simulation Coordinator Agency Texas A&M University Health Science Center Department Simulation & Immersive Learning Center Proposed Minimum Salary $4,166.67 monthly Job Location Houston
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. Assists with administrative tasks related to project documentation and coordination. Qualifications Required Education and Experience: Bachelor’s degree in Visualization, Computer Graphics, Computer
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Certification, or the ability to be certified within 60 days of employment. Required Knowledge, Skills, and Abilities Knowledge of child growth and development, learning theories, effective learning environments