584 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Pittsburgh
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requests and manages approved budget. •Prepares and analyzes data; keeps accurate and timely data logbooks. •Ensures compliance with all applicable regulations for waste disposal; acts as department safety
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candidate that has strong computer, problem solving and organizational skills. Work must be accurate, complete and timely. Experience with Outlook, Teams, Zoom, Microsoft Suite, Excel, PowerPoint and
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independent and complex laboratory work and experiments. Analyzes and interprets data, compiles results, and prepares reports. Maintains inventory, ordering, and logs. Writes manuscripts and grant proposals and
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highly motivated and skilled senior software engineer to develop software and computer models in the field of Computational Neuroscience for simulation analysis at ionic channel level of the nerve
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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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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