358 data "https:" "https:" "https:" "https:" positions at University of Colorado in United States
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good near vision for computer work; often requiring minimal lifting, but may involve bending or reaching to retrieve items from shelves or drawers. CU is an Equal Opportunity Employer and complies with
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contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $800 million. For more information, visit ucdenver.edu . Job Description * Applications are accepted electronically
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independently, be highly motivated, design and carry out experiments, analyze data, and interpret and publish results. It is the Fellow’s responsibility to fully understand the technical details of Dr. Foresters
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employers for internships, job placement, and student engagement activities. Produce quarterly and annual reports summarizing BCC outcomes, placement data, accreditation metrics, and other key performance
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develop expertise in high-resolution cryo-EM, cryo-ET, and the reconstitution of membrane-associated signaling complexes. Data Analysis: Use computational tools (e.g., CryoSPARC, ChimeraX) to analyze and
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participating trial sites and participates in regulatory communication for single site clinical trials. Updates OnCore and/or eReg with regulatory review information, documents, or other information in accordance
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the ability to sit for extended periods, stand and walk occasionally, reach with hands and arms, use hands to manipulate a keyboard and mouse, and have good near vision for computer work; often requiring
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situation, determine appropriate information and referrals, exercise discretion to resolve issues, and tailor messaging to fit each unique situation. • Coach students through academic difficulties
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to projects supported by strong preliminary data, investigating how a scaffold protein regulates membrane and vesicle trafficking in aging‑, cancer‑, and skin biology-relevant contexts. Recent relevant
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, ex vivo tissue imaging, and microscopic analysis using confocal laser scanning microscopy. The candidate will actively assist in data analysis to quantify nanoparticle targeting efficacy. Professional