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computing environments and GPU computing. Proven experience in weather and climate models development and applications. Experience in machine learning, deep learning, or AI applications for atmospheric
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researcher in Computer Science, Data Science, Human-Computer Interaction, Psychology, Empirical Educational Research, Learning Sciences, Cognitive Science, or related disciplines who is eager to contribute
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, procurement, or grant administration will be an added advantage. Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will
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Able to adapt to change, Able to assemble, analyze and present data, Able to learn and retain information, Able to multitask, Able to plan, organize, and implement projects in a timely manner, Able to
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Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous. Key Competencies Prior experience in research project coordination and
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museum in America. Today, it serves Yale University, the wider New Haven community, and the public as a center of teaching, learning, and scholarship. The museum is open to all, free of charge, and is
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community, and the public as a center of teaching, learning, and scholarship. The museum is open to all, free of charge, and is committed to engaging audiences through thoughtful, creative, and relevant