513 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Pittsburgh
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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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have hands-on experience with tumor xenografts and genetically engineered mouse models. Candidates must hold a B.S., M.S., or higher degree in a biology-related field and demonstrate comprehensive
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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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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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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
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SKILLS Experience with graphic design and Artificial Intelligence is a plus. Physical Effort Must be able to sit for prolonged periods of time and work with computing technology. This position involves
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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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The employee must be able to use a computer and keyboard, as well as video communication technology. Work is frequently conducted by email, telephone, or using video communication technology. The ability
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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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. The college community includes roughly 2,200 undergraduate students and 150 full-time faculty distributed across seven academic divisions: Business & Enterprise, Education, Engineering & Computer