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team as a CATI (Computer-Assisted Telephone Interviewing) Supervisor. In this role, you will play a key part in training and coaching interviewers, executing shift call plans, ensuring the quality of our
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of equipment, ordering of supplies, inventory and media preparation. Maintains records, files, and logs of work performed in laboratory notebooks and computer databases. Compiles data and records results
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program. Oversee program budget, monitor and approve expenses, process student stipends. Establish tracking system for metrics required for NIH reporting and department use. Generate reports and analyze
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the budget preparation process, long and short-term planning, cost projections, and budget estimates. Supervise full-time and part-time support personnel. Hire, manage, evaluate, and provide training
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quantitative reasoning skills. Preferred qualifications: Prior experience working with animals (ideally zebrafish) desirable but not required (you will be trained). Experience and/or interest in computer coding
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and translational research in gastric cancers, especially relating to pancreatic ductal adenocarcinoma. Perform advanced lab techniques including: Cell-based in vitro assays and sample processing PCR
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budgets for computer equipment and software. Additionally, incumbents have extensive knowledge in specialized systems for their area and are able to create programs and modify applications as necessary
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Knowledge of social work, research methods, and statistical analysis. Technical skills: Proficient with computer software for project management (Trello and TimeCamp), statistical analysis (such as SPSS), and
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for the department at the Karmanos Cancer Institute, the RA will also support quality improvement and research activities of the Michigan Urological Surgery Improvement Collaborative (MUSIC). Lastly, the RA will work
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to multi-task and work independently. Ability to communicate professionally and effectively orally and in writing. Ability to effectively negotiate. Proficient Microsoft Excel and computer software/databases