700 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at Cornell University
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Professor position in the School of Electrical and Computer Engineering. The successful candidate will be expected to teach courses primarily in computer engineering subjects with an emphasis
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applications for a part-time Lecturer position in health administration to teach in our residential and executive masters programs starting in late Spring or early Summer 2026. We are seeking a healthcare
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. The focus of this position is developing methods to disentangle dynamic, multiscale ecological signals from large, noisy observational data. This work lies at the interface of statistics, machine learning/AI
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the U.S. and abroad. The Vice Provost for Undergraduate Education leads initiatives and programs that broaden access to learning opportunities, provide essential academic supports, emphasize education, and
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Diana Young, Assistant Manager for HR in Afterschool at 315-788-8450 with questions. POSITION DETAILS
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installed Siemens NAEOTOM Alpha® photon-counting CT. - A planar gamma camera linked to a MIE computer, isolation facilities for radioiodine therapy. - Four ultrasound units (Samsung RS85 x2, Philips Epiq5
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Diana Young, Assistant Manager for HR in Afterschool at 315-788-8450 with questions. POSITION DETAILS
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Part-Time Lecturer in Health Administration The Jeb E. Brooks School of Public Policy at Cornell University invites applications for a part-time Lecturer position in health administration to teach
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Internal Applicants (current employees working for the Association advertising this career opportunity) must apply online via his/her Workday account, which may be accessed here: http://workday.cornell.edu
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology