34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Colorado
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Postdoctoral Fellowship (First Responder and Military Psychological Health and Suicide Prevention) - 38903 Faculty Description Department: Emergency Medicine Job Title: Postdoctoral Fellowship
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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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Services professionals/students in the lab. Assist in maintaining lab equipment and laboratory maintenance. · Mentorship 10% Teach/supervise students and/or research assistants. Work Location: Onsite
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oncologists. Salary and benefits are in line with the NIH guideline. Key Responsibilities: · Perform designated research projects independently; document, acquire, and analyze experimental research
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classification for conducting cutting-edge and life-changing research that creates impact in our communities. Additionally, for more than a decade, they have received a national Military Friendly® School
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. Total Compensation Calculator: 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
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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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on the structural dynamics of molecular machines. This is an exciting opportunity to help shape the scientific direction of a growing lab at the interface of structural biology, biophysics, and virology, while
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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: Expertise in one
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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