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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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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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appropriate to qualifications and engineering school norms. Cornell ORIE is a diverse group of high-quality researchers and educators interested in probability, optimization, statistics, machine learning
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Development to design and lead career development and experiential learning opportunities that prepare students for success in a global workforce. This position will oversee and expand opportunities including
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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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in probability, optimization, statistics, machine learning, simulation, game theory, and a wide array of applications such as health care, e-commerce, supply chains, scheduling, manufacturing
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University invites applications for a part-time Visiting Lecturer position beginning in spring 2027 to teach coursework in Economic Development, Graphic Design, GIS and other topics relevant to urban planning
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appropriate to qualifications and engineering school norms. Cornell ORIE is a diverse group of high-quality researchers and educators interested in probability, optimization, statistics, machine learning