384 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" positions at University of Pittsburgh
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experiences. The EDGE Enrollment Management team is a dynamic, data-driven unit dedicated to growing Pitt's portfolio of workforce-aligned online, master's and professional programs. We integrate creative
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accommodations if necessary • accurately and legibly document written information in English in a timely manner, including electronic formats and applications (e.g., PRISM, CAMS) • effective written and verbal
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through visits and treatments, ensures charts are complete and necessary information is collected, and coordinates patient flow. Ensures infection control in operatories and with instruments. Maintains
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the office of the Director. They will also be expected to facilitate project management of large-scale proposals, including integration of data and documentation from multiple sources and preparation
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students that enter the lab. This individual will be expected to evolve as projects evolve and data are analyzed. Further, the individual will be expected to work as part of team in the Bruno lab. Due
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Review Board (IRB) renewal, modification, and approved protocols. Assists with training staff. Ensures adherence to protocols and corrects issues with data collection. Essential Functions • Conducts
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on department committees. Candidates should submit: a letter of application containing a description of academic background, teaching philosophy, current curriculum vitae, names and contact information for three
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. Workforce management duties include but are not limited to study site service management, workload assignment, performance and training management, data collection, recruiting, forecasting, and analysis
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able to use a computer at a desk or similar workstation, and travel to on-campus meetings as needed. The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan