716 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Colorado
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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-demand, top ranked
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and ability to successfully manage multiple self-directed projects with competing priorities. · Strong organizational skills and attention to detail. · Ability to learn and stay current on
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or Python to analyze data and experience with statistical, machine learning, and data science approaches. Prior experience working in teams on collaborative projects. Knowledge, Skills and Abilities
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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 Opportunity Employer and
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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 Opportunity Employer and
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temporary, non-tenure track positions and will teach no more than two courses per semester. Appointments will be part-time (less than 50%) and will be made semester-by-semester, depending on the needs
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, Colorado. Why Join Us: The CU Skaggs School of Pharmacy and Pharmaceutical Sciences is preparing the world’s future pharmacists and pharmaceutical scientists through innovative learning and teaching. During
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for perinatal mental health populations. Interested in a full time position (0.5 – 1.0 FTE)? Please apply using this requisition: https://cu.taleo.net/careersection/2/jobdetail.ftl?job=39107&lang=en Work Location
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learning and working environment. Our team of clinicians, researchers, educators, and administrative staff are dedicated to the advancement of physical medicine and rehabilitation and are committed
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Calculator: http://www.cu.edu/node/153125 The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education