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Working Title: Senior Machine Learning Engineer [Hybrid] No Visa Sponsorship is available for this position. The work location is Ithaca, New York with the possibility of a hybrid work schedule that
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are seeking experienced professionals to join our team as Course Facilitators in our Applied Machine Learning and AI portfolio, with a strong emphasis on generative AI and large language models (LLMs
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and/or weekends, as appropriate. Preferred Qualifications: Familiarity with military life. Demonstrated ability to utilize program resources within the Fort Drum and general community. Demonstrated
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and work will be conducted remotely. Physical demands include prolonged periods of time reading from a computer screen and typing on a keyboard. Seasonal readers will be trained by and partner with
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional
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. Ability to recognize and respond appropriately to unsafe conditions and practices. Willingness and ability to learn new equipment, processes, and approaches as shop needs evolve. Ability to work
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to projects in a cleanroom environment. Overview of the Opportunity The intern will learn about fabrication equipment, maintenance, and cleanroom production to develop skills for a potential career in the
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impact, which guide all programs and initiatives. Together, these elements drive the college's commitment to positively impacting society and fostering a collaborative learning environment. The Peter and
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specialists. The position requires strong analytical skills, attention to detail, and the ability to independently learn and work with complex software systems. About The Cornell University Library Cornell
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expertise in Machine Learning and/or Artificial Intelligence as applied to biomedical engineering. A strong commitment to undergraduate teaching and advising is essential. Teaching responsibilities will