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] Subject Areas: Computational Biology / Data Analytics Machine Learning / Machine Learning Analytical Chemistry / Current Advances in Chemistry & Biochemistry Computational Science and Engineering
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: 271303894 Position: AI/machine learning for performance-enhancing drug identification Description: The Skinnider Lab at Princeton University aims to recruit a postdoctoral or more senior research position
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psychoactive substances, in seized drug products or clinical samples. The candidate will have the opportunity to work directly with experimentalists to validate predictions made by their machine-learning models
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, United States of America [map ] Subject Area: Artificial Intelligence, Machine Learning and Autonomy / Ethics Appl Deadline: (posted 2024/11/22, listed until 2025/05/22) Position Description: Apply
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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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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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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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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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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instructional classes for new users of the SEAS machine shop -Instruct users in machine shop best practices and fabrication techniques. -Ensure all personnel in the shop are following University shop policy and