454 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at SUNY University at Buffalo
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, machine learning, and optimization, broadly defined. Applicants working at the intersection of these areas, especially those applying theoretical and computational methods to problems in management science
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Department of Obstetrics & Gynecology Posting Number U250040 Posting Link https://www.ubjobs.buffalo.edu/postings/57284 Employer University Affiliates Appointment Term Position Type Posting Detail Information
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Posting Details Position Information Position Title Assistant Professor, Marketing Department Marketing Posting Number F260029 Posting Link https://www.ubjobs.buffalo.edu/postings/61630 Employer
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emerging technologies such as AI and machine learning, and ensure compliance with frameworks including NIST and CMMC. You will serve as a trusted advisor to faculty and campus partners while building and
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Posting Details Position Information Position Title Vice Chair for Research; Department of Pediatrics Department Pediatrics Posting Number F260030 Posting Link https://www.ubjobs.buffalo.edu
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Pediatrics Posting Number U260019 Posting Link https://www.ubjobs.buffalo.edu/postings/61660 Employer University Affiliates Appointment Term Position Type Posting Detail Information Position Summary
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Services Posting Number P260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61695 Employer State Position Type UUP Professional Professional Appointment Term Salary Grade SL4 Posting Detail
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: //www.abet.org.), and in computer engineering (accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org ), a combined 5-year BS-MS program, a minor in computer science, a Certificate in
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P260047 Posting Link https://www.ubjobs.buffalo.edu/postings/61473 Employer State Position Type UUP Professional Professional Appointment Term Term Salary Grade SL3 Posting Detail Information Position
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting