825 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Colorado
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University of Colorado Denver [OPEN to CURRENT CU EMPLOYEES ONLY] About the University of Colorado - Denver Millions of moments start at CU Denver, a place where innovation, research, and learning meet in
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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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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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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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: To support the growth of our faculty, selected candidates will be offered the opportunity to choose a track that corresponds to their area of excellence. Learn more about faculty tracks at the Office for
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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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what benefits are available, please visit: https://www.cu.edu/employee-services/benefits-wellness . Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday
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website: https://medschool.cuanschutz.edu/accords. The successful candidate will assist with study and instrument design and data coordination, conduct data cleaning and analysis of primary and/or secondary
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in Centerfield, Colorado. Why Join Us: The Department of Family Medicine (DFM) mission is “To heal, teach, discover, and connect. Together." by educating, nurturing, fostering, and enhancing those in
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-up care for patients discharged from the hospital. Teach dermatology residents, fellows, and medical students Participate in departmental conferences and contribute to the academic environment through