774 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Colorado in United States
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: http://www.cu.edu/node/153125 ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request
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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 complies with
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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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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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the following equipment but is not limited to: Computer Aided Dispatch (CAD) Computer Software and Computerized network video recordings and live cameras. General office equipment includes facsimile, copy, and
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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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: 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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and experience in biospecimen processing Bilingual English and Spanish speaking Knowledge, Skills, and Abilities · Interest in learning phleobotomy and specimen processing. · Ability
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: This role aligns with the Clinical Practice Track with a principal focus on direct patient care or program leadership. This role is not eligible for Tenure. Learn more about faculty tracks at the Offices
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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