834 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Cornell University in United States
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an appointment through December 31, 2026. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and the Yang-Tan Institute at http://www.yti.cornell.edu/ . We require
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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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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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), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status
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(HPC). • Experience with machine learning and network biology. • Background in cancer research. Pay Range: $62,232.00 - $81,000.00 To apply visit https://academicjobsonline.org/ajo/jobs/31509 and submit
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increased value to programs. Requirements Master’s degree in dairy management, ag science or business with an agricultural background and 2+ years of experience. Proficiency in use of computer programs such
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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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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
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, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression