793 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Colorado
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Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We’re the state’s premier public urban research university with more than 100 in
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the identification and development of drug therapies that improve cardiac function specifically targeted by age and biological sex. For more information, please see our webpage: https://medschool.cuanschutz.edu
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year of clinical practice as a NP or PA At least one year of clinical research experience Fully credentialed by the University of Colorado Ability to learn and work with the Epic electronic medical
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for providing utility and facility support for the research and learning facility in a manner that promotes the University of Colorado Anschutz Medical Campus' mission of health care, education, and research. Key
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Assistant Teaching Professor - Electrical and Computer Engineering - 38303 Faculty Description The University of Colorado Colorado Springs will not sponsor work visas or permanent resident
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Compensation Calculator: http://www.cu.edu/node/153125 ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To
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beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http
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retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal
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: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws
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, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention