411 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" 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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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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proposals Supervise and mentor graduate students in their research endeavors Interested individuals should submit a CV with contact information. Salary will be commensurate with relevant research experience
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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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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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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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to guidelines. Facilitates reporting of data for better understanding and improvement of outcomes. Prepares reports for senior management. • Assists with the selection, negotiation, and management of all
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computational analysis on omics data. • Conduct laboratory experiments including histology, immunostaining, flow cytometry, molecular techniques, gene sequencing, live cell imaging, fluorescent 3D microscopy