786 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at University of Colorado
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review, and verifying data obtained from the ultrasound Review and triage referrals alongside schedulers and MFM providers to determine urgency in scheduling Work Location: Onsite – this role is expected
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Dr. Michelle Wolcott. Key Responsibilities: Assist with and oversee the day to day operations of clinical trials and studies Obtain study subject’s medical history and current medication information
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current status of agreements and balance information on a scheduled and ad-hoc basis. Uphold university policies and procedures for all agreements and communicate with all parties to remain compliant
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assist with delivering interventions in live mice aimed at improving cardiovascular and kidney function. Provide laboratory science expertise and contribute to study design, study oversight, data
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and existing computers, software, and peripherals. Maintain monthly logs of copier usage, Isilon data storage usage, and Track OIT Billing reports to ensure all phone lines are needed. Attend off-site
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electronic data capture systems (e.g. EMR or EHR and data management systems) Experience with and proficient in adult and pediatric phlebotomy Knowledge, Skills, and Abilities: Knowledge and understanding
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, library science, women and gender studies, psychology, computer science, information systems, business, health sciences, physical sciences, public administration, business administration, higher education
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inventory Assistance with laboratory upkeep & maintenance Data collection and analysis Participation in lab meetings Presentations at lab meetings and local conferences Contributions to project development
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, public administration, social/behavioral sciences, physical sciences, nursing, healthcare, finance, accounting, business administration, business, data sciences/quantitative field or a directly-related
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to directly address clinically relevant questions in sarcomas, neuroendocrine tumors, and other hard-to-model malignancies. Trainees work at the interface of experimental biology, data-driven discovery, and