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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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for code and configuration (git) Familiarity with using Application Programming Interfaces (APIs) Familiarity with common tools for IT documentation and project management (Confluence, Github) Applications
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base code/scripts and troubleshoot/debug software Familiar with functionalities of custom software tools, such as Eyewire, Flywire, VAST, and OMNI Ability to discover and implement innovative tools
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purchases subject to Uniform Guidance Experience with contract lifecycle management tools Working knowledge of Uniform Commercial Code Familiarity with eProcurement systems and processes Experience in a
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. Ability to collaborate effectively within a team setting. Ability to run base code/scripts and troubleshoot/debug software Familiar with functionalities of custom software tools, such as Eyewire, Flywire
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references. To be considered, please apply online at https://puwebp.princeton.edu/AcadHire/position/36122. Providing supplementary materials, such as links to course websites, videos of instructional sessions
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency
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receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least one of these being an academic/research reference
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support to researchers on software best practices, coding standards, and algorithm optimization. High-Performance Computing: Assist researchers in utilizing the institution's high-performance computing