108 postdoc-distributed-algorithms positions at University of Pennsylvania in United States
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to ensure accurate salary distributions. Plan reporting schedules and ensure compliance with same. Liaise with funding agencies, subcontractors, university-sponsored project offices, and others. Prepare grant
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the copy center daily, signing for incoming mail, distributing mail, and shipping UPS/FedEx packages. The position will provide administrative support to faculty including assisting with travel arrangements
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to established policies and procedures. May be involved with curriculum oversight. Will likely interact with a wide variety of stakeholders including students, postdocs, faculty, adjunct faculty, administrators
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, postdocs, faculty, adjunct faculty, administrators, and leadership etc. Job Description Job Responsibilities Develops regular communication to be shared with faculty, schools/ centers and across Penn
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well as managing the mail for the department. This entails package intake - emailing and supervising, taking outgoing mail to the copy center daily, signing for incoming mail, distributing mail, and shipping UPS
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and help develop and distribute surveys; use feedback to inform business planning. Customer Experience & Engagement Lead divisional customer experience initiatives, including coordination of presence
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knowledge of database systems. Job Description Responsibilities Work with curatorial staff to document, evaluate and inventory living collections. Create and distribute plant labels. Perform database entry
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that all correspondence, written materials and appropriate documents are prepared in timely manner for review and distribution to meet all deadlines 4. Support development efforts for the department, in
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, postdocs, and graduate students. Last, this position comes with flexibility in terms of intellectual engagement and further career advancement. Namely, the candidate is free to explore independent research
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maintenance of machine learning algorithms, applications, analysis pipelines, and results reporting methodologies using R and SAS (including R functions and SAS macros for data management and analysis support