55 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Texas A&M University
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solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a prestigious university with strong traditions, Core Values, and a community of caring and
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that bridge traditional areas of psychology. These primary research themes include Affective Science; Neuroscience; Personality and Individual Differences. To learn more please visit our site at https
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Date for this position is 01/05/2026. Who We Are The Bush School of Government and Public Service, https://bush.tamu.edu , was founded in 1997, under President George H.W. Bush's philosophy that public
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of Government and Public Service, https://bush.tamu.edu , was founded in 1997, under President George H.W. Bush's philosophy that public service is a noble calling. Since then, the Bush School has continued
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and students in teaching, research and outreach programs. To learn more, please visit our website https://vetmed.tamu.edu/ What we want The Postdoctoral Research Associate, under general supervision
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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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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. The preferred candidate will have a strong academic or industrial background in machine learning, trustworthy machine learning and AI, agentic AI, adversarial machine learning, graph-based learning, multi-domain
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an exciting opportunity to work at the intersection of geoscience and advanced machine learning. The associate will collaborate primarily with Professor Qian Yuan, focusing on integrating state-of-the-art