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, navigating complexity, and building strong, trust-based relationships with a diverse community, this role offers an opportunity to have a meaningful impact within one of Cornell’s most dynamic engineering
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provide essential technical support to the successful development and operation of research equipment across the CLASSE complex on Cornell’s campus. Our team supports all CLASSE groups, but your primary
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analysis of moderately complex data; may research, tabulate, graph and map moderately complex data; write computer programs and/or plan the interface among two or more computerized systems involved in
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. Comfortable using technology effectively for learning, communication, instruction, and/or coaching. Ability to communicate complex ideas clearly and concisely. We'd prefer prior teaching, tutoring or mentorship
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foundation models. Ideal facilitator background: Deep expertise in machine learning and deep learning, including supervised/unsupervised learning, neural network architectures, and model evaluation. Strong
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to speak in public and facilitate meetings as needed. Ability to work flexible hours which includes evenings and/or weekends. Detail-oriented with the ability to complete moderately complex and
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Cornell Human Ecology explores the complexity of human life. We bring together a range of perspectives to understand the full context of the human experience and improve lives at every scale, from cells
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dynamic network of researchers in purpose science across institutions who desire meaningful opportunities to engage with other scholars, youth-serving organizations, and youth themselves. Ke y
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sessions to troubleshoot complex technical issues Guide teams through agent architecture decisions, tool integration challenges, and deployment strategies Support teams in evaluating agent performance using
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, equine sports medicine, lameness, and rehabilitation, with a proven record of success as a veterinary specialist in a complex referral environment. Demonstrated excellence when communicating with clients