592 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at University of Pittsburgh
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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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EHR systems. • Manage role-based access and permissions. • Support data audits and contribute to quality assurance and compliance reviews. Physical Effort Must be able to sit or stand for prolonged
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, and student workers. The Regional Coordinator is responsible to implement and conducting quality assurance of data related to programming. The incumbent is required to abide by all HRSA, DHHS, DOH
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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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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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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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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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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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. 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