170 machine-learning "https:" "https:" "https:" "https:" uni jobs at Binghamton University
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theoretical foundations of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record of research and teaching and
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or via email at info@goer.ny.gov Payroll information can be found on our website https://www.binghamton.edu/offices/human-resources/payroll/ Cover letters may be addressed "To the Search Committee
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, geoarchaeology, public archaeology, and/or cultural resource management archaeology are particularly encouraged to apply. The candidate who fills this position will teach core courses at the undergraduate and
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candidates with expertise in theoretical foundations of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record
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and/or publication at the professional level will be required for tenure. The successful candidate will teach courses in playwriting (beginner and intermediate) and script analysis and may also teach
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mathematics, with particular interest in candidates whose research advances the mathematical foundations of artificial intelligence, machine learning, and quantum information and computation. Successful
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at Binghamton invites applications for an up to three-year renewable, full time, Physics Lecturer position. Principal responsibilities are to teach and coordinate introductory physics courses for undergraduates
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info@goer.ny.gov Payroll information can be found on our website https://www.binghamton.edu/offices/human-resources/payroll/ Cover letters may be addressed "To the Search Committee." Postings active
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info@goer.ny.gov Payroll information can be found on our website https://www.binghamton.edu/offices/human-resources/payroll/ Cover letters may be addressed "To the Search Committee." Postings active
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written, oral, and electronic communication skills Effective organizational and computer skills The ability to interact effectively with the campus community, including faculty/staff, students, visitors