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at the assistant or associate professor levels in Applied AI for the 2026-27 academic year. Qualifications Candidates should have deep expertise in AI/ML methods and tools, along with a strong interest in applied
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, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy solutions to their most pressing environmental and energy challenges. Job
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., Python/R, version control, HPC/cloud). Experience assisting in training/mentorship/grant writing. Supervisory experience. Preferred Competencies Knowledge and experience of deep learning and regulatory
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learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use their voices to full
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translating research into practice and supporting leaders to organize their schools for improvement. NCS provides professional learning and support to school and district leaders and helps them focus on what
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focused on the most in-demand AI competencies. These sessions will provide students with opportunities to learn and practice skills including prompt engineering, building AI models with proprietary data
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. Has a deep understanding related to the development of programming for non-academic matters, such as health and wellness and curricular programming. Develops and implements programming relating
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learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use their voices to full
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1896 by John Dewey as a place for educators to develop and explore novel approaches to pedagogy and curriculum, Lab continues to provide excitement and imagination in learning to this day. Academic rigor
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computer science, computer engineering, data science, or similar. Technical Skills or Knowledge: Experience with one or more machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras