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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
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emergency action planning and procedures. Ability to train/teach others. Responsibilities: Open recreation facilities as scheduled. Working as part of the Facilities work group assist with supervising daily
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 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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, communications, web development and system testing. Strong computer skills to include MS office suite, database integration knowledge, intermediate PC and Mac troubleshooting as it relates to online learning
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. We are hosted by NAISS in partnership with RISE Research Institutes of Sweden and is part of the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https
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, and follow instructions; record temperatures on dish machines, freezers, etc. Skills and Knowledge: NOTE: There may be other Non Food Handler positions open at different locations and different shifts
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, learn and grow. Join us and contribute to our culture. Additional Information: Purdue’s benefits summary https://www.purdue.edu/hr/Benefits/ Purdue will not sponsor employment authorization
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Spiders” awarded to the Computer Science Department of the University of Manchester, see https://www.renaissancephilanthropy.org/learning-to-do-math-with-vampires-and-spiders The formal methods group
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning