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Details Posted: 17-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 265656080 Position: AI/machine learning for performance-enhancing
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Details Posted: 14-Feb-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 262071865 Position: AI/machine learning for performance-enhancing
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on
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of artificial intelligence on society, as well as broader questions surrounding the application of statistics and machine learning in social science. The position requires no teaching, though some mild
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will
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science, psychology, computer science, statistics and machine learning, linguistics, neuroscience and philosophy. If you are passionate about understanding human cognition, advancing AI research, working
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shop -Instruct users in machine shop best practices and fabrication techniques. -Ensure all personnel in the shop are following University shop policy and safety procedures. -Assist users with the design
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our Machine Shop/Engineering Design Lab, managing independent work, and providing teaching support to the students in classes held in this lab. These classes include MAE 321 and MAE 322. The lab is