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Software Engineering: SDLC, requirement analysis, design, testing, optimisation, analysis, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT
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-fidelity task trainers, medical equipment, computer hardware and software, recording devices, and related multimedia technologies used in the training of healthcare professionals and students. As part of a
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Date 03/16/2026 Posting Close Date Qualifications Minimum Education and Experience •Requires excellent communication skills, and computer literacy. •Experience with video and photo editing software
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php Offers of employment are contingent upon completion of a background investigation including a criminal background check
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Technology meets the program standard through one of four routes: Possesses an earned master’s or higher degree from a regionally accredited institution in a business or computer-related discipline, as
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of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. ADA Accommodations
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desire to know more. The university offers bachelor’s and master’s degrees in engineering, computer science, machine learning, user experience, construction management, actuarial science, business and