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Communications at Syracuse University is seeking an individual to teach TRF 211 Screenwriting on Tuesdays/Thursdays 12:30-1:50pm during the Spring 2026 semester. (3 credits) Course Description: This course
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, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration to continue
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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including computer-based research, data collection, and project coordination to advance the lab's projects in surgical innovations, outcomes, and medical technologies. Learn more about the LIN lab at https
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the supervision of the PI, including proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. Pursue research topics
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, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation
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Assistant Director, Baylor Synthesis & Drug-Lead Discovery Laboratory & Associate Research Professor
vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about Baylor and our strategic vision, Baylor in Deeds . Also, explore our great hometown
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equipment; typing, data entry; computer operation; use of computer software and other programs applicable to the assigned department*. Ability to: develop and teach technology related programs; consult with
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education. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/21923150/2025-postdoctoral-research-associate-ai-machine-learning-for-analytical-and-forensic
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of cybersecurity. Examples areas of interest include, but aren’t limited to: ● Problems at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML) ● Systems and