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located throughout the state, Virginia’s Community Colleges are committed to serving Virginia families, helping them acquire the knowledge and skills to seize the opportunities of today and tomorrow
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs Jarli & Jordan/ UiO via Unsplash Jarli & Jordan
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the start date Strong background in computational linguistics or deep learning Demonstrated interest in at least one of: language learning/acquisition, interpretability/mechanistic analysis, human-like
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
carbon-cycle modeling. The project will build a unified modeling framework that uses GEDI LiDAR and Landsat/HLS data to train deep learning models capable of predicting forest structure variables such as
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we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page. Where to apply Website https
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Health Prevention: Investigate how LLMs associated with deep learning can be used to identify early signs of mental health disorders by analyzing digital diaries, questionnaires, voices features, physical
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in machine learning and deep learning Knowledge and experience in wireless communications and radar Knowledge and experience in statistical signal processing Knowledge and experience in 5G networking
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Assistant or Associate Professor of Practice, Chemistry & Biochemistry Posting Number req25390 Department Chemistry & Biochemistry - Sci Department Website Link https://cbc.arizona.edu/ Medical Sub
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description The Content Marketing Specialist