45 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at SUNY University at Buffalo in United States
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biology. The Snell Laboratory collaborates closely with AI and classical machine learning developers, and the selected candidate should have expertise or an interest in acquiring expertise in AI and
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Number U250093 Posting Link https://www.ubjobs.buffalo.edu/postings/59894 Employer University Affiliates Appointment Term Position Type Posting Detail Information Position Summary This is a NIH, NLM T15
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Immunology Posting Number R250181 Posting Link https://www.ubjobs.buffalo.edu/postings/59884 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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P250213 Posting Link https://www.ubjobs.buffalo.edu/postings/58720 Employer State Position Type Professional Appointment Term Term Salary Grade SL1 Posting Detail Information Position Summary The Department
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https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
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Pediatrics Posting Number R250161 Posting Link https://www.ubjobs.buffalo.edu/postings/59499 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade N/E.99
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Posting Number R250157 Posting Link https://www.ubjobs.buffalo.edu/postings/59473 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade N/E.99 Posting
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Posting Link https://www.ubjobs.buffalo.edu/postings/59090 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information
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Immunology Posting Number R250155 Posting Link https://www.ubjobs.buffalo.edu/postings/59389 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes