367 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Pittsburgh
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elucidating how DNA recombination processes contribute to genomic instability and tumorigenesis in B cells by utilizing cutting-edge sequencing technology and novel genetically modified mouse models
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proficient with technology in order to use common applications (e.g. email, Microsoft Office, Zoom) and to learn CAMS (DLAR business application software); be available to work occasional weekends and holidays
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. Must possess competency using technology as well as excellent interpersonal and organization skills; initiative-taking, creativity; time-management, and the ability to work well independently and as part
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engineering and clinical teams, and competitively pursue NIH R01 funding to sustain and expand an independent research program. The University of Pittsburgh is an equal opportunity employer / disability
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accommodate participant clinical schedules. Comfort with technology is needed (experience with electronic medical records, REDCap, and SPSS is a plus). This position will work in various clinical environments
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work with: The employee will collaborate closely with its Panther One team members – including data engineers, analytics engineers, and data scientists – to build solutions. This position should expect
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-of-the-art technology systems, workflows, data analytics, and reporting. Overseeing endowment-related aspects of the University’s annual audit. Physical Effort Must be able to use computer, copier, and mobile
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guidance on them to University constituents. Essential Functions Employee must be able to use a computer and keyboard, as well as utilize video communication technology (E.g., Zoom, Teams). Work is
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and digital techniques. This position also plays a key role in the development of the school’s new Digital Dental Technology Program and supports faculty, residents, and students through collaboration
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Athletics. Your work will focus on developing models and analyses for defined business and decision problems and partnering with engineering teammates to deploy solutions into tools, workflows, and processes