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Employer https://main.hercjobs.org/jobs/22131294/senior-ai-full-stack-developer-is-t-applications Return to Search Results
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Engineering (ECE) Department and Eversource Energy Center (EEC) at the University of Connecticut (UConn) solicit applications for a tenure-track faculty position at the Associate or Full Professor level. Strong
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safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities
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(Physics, Materials Science & Engineering, Electrical & Computer Engineering, and Chemistry) and will perform experimental or computational research projects aligned with CEM focal areas. Applicants
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program to pursue higher education Generous retirement plans with university match Learn more about working for UNL: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers
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experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
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Number: 283456629 Senior Project Manager US-NY-New York Job ID: 2025-14477 Type: Capital Projects and Facilities (WS2548) # of Openings: 1 Category: Engineering New York University Overview Manage the
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reconfigurable RF hardware for CAP-MIMO systems and contributing to machine learning-enhanced ISAC methods development through EM-informed modelling and hardware design. This is a unique opportunity to build
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cassettes and report any deficiencies to the Director. Track dental instruments through all phases of the cleaning and sterilization process by utilizing scanning technology. Sterilize instruments, operate
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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