461 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" uni jobs at Princeton University
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. Typically, fellows hold full-time law faculty positions at other universities or colleges. Candidates must submit an online application https://www.princeton.edu/acad-positions/position/39721. Applications
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of research. This is a 1-year term position. Responsibilities Responsibilities: Assemble and manage data sets Process and analyze survey and census data Assist faculty members in the design, implementation, and
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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comprehensive benefit program to eligible employees. Please see this link for more information. Standard Weekly Hours 36.25 Eligible for Overtime Yes Benefits Eligible Yes Probationary Period 90 days Essential
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directories. Create data repository system in central data server and customize for individual users. Archive all facility data and maintain workstation computers. Perform daily and weekly quality control
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philosophies, and contact information for three references. Applications must be submitted via the Princeton University academic hiring site https://puwebp.princeton.edu/AcadHire/position/38501 . Expected Salary
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: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record keeping is required. -Must be highly motivated, a team player, able to
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the application portal at https://www.princeton.edu/acad-positions/position/37483 and submit a cover letter, CV, at least one publication sample (a conference or journal paper), portfolio, and contact information
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career at our national laboratory. The apprentice will receive pay and benefits, as well as all the RTI is fully paid for by PPPL. PPPL apprenticeship website: https://www.pppl.gov/work-with-us
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to lead Alumni Records in the collection, research, recording, cleansing, reconciliation, integrity, and maintenance of constituent data as the foundation for Advancement fundraising initiatives, reporting