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Machine Learning Software Engineer Machine Learning Software Engineer (Remote) *No Visa Sponsorship is available for this position. About the Cornell Lab of Ornithology The Cornell Lab of Ornithology is a
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to communicate effectively through oral, written, and visual channels using traditional educational tools, as well as electronic technology (e.g., video, audio, web, etc.). Experience in nonprofit fundraising and
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10022. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and Climate Jobs Institute at https://www.ilr.cornell.edu/climate-jobs-institute What we need
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around ML/AI with Amazon Web Services (AWS). The position emphasizes both technical innovation and research program development, connecting fundamental climate science with practical applications while
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Computational Biology PhD graduate program. What We Need We are seeking a team member who is reliable, very organized, and self-motivated. Additionally, you will have: An Associate's degree and 2+ years
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Laboratory (NOAA GFDL), and will foster new collaborations around ML/AI with Amazon Web Services (AWS). The position emphasizes both technical innovation and research program development, connecting
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different software packages and web-based tools (e.g., Microsoft Office, Microsoft Teams, Zoom or videoconferencing software, Lexis Nexis, library databases, and Qualtrics) Ability to cultivate and develop
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, providing excellent clinical/diagnostic services to the Cornell University Hospital for Animals (CUHA), and maintaining a strong teaching and outreach program. The successful candidate would join a current
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Virginia (DMV) region. Design new curriculum and update current curriculum for the Professional Mediation Certificate program and Labor Arbitrator programs and provide instruction. Support the Arbitration
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, interactive web and mobile apps, publications, and multimedia. The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work