125 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Carnegie Mellon University
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applications for this job through MathJobs.Org right now. Please apply at https://apply.interfolio.com/175626 . Contact: Jessica Paschke Email: Postal Mail: Carnegie Mellon University Department of Statistics
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the next generation of surveys. You will work with astronomers and scientists to integrate their analysis code into these scalable analysis frameworks utilizing tools such as Spark and Dask. Development will
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, P-Card transactions, reimbursements, transfers, journal entries, labor scheduling, recharge center billing, deposits, award processing, donor gift processing, and Workday transactions. Managing
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must have the ability to obtain and maintain a Department of War (DoW) security clearance. Knowledge, Skills and Abilities: Strong ability to analyze source code and identify quality concerns
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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of fire and life safety systems, from design and construction to maintenance and repair. This includes ensuring all work meets University standards and applicable NFPA codes. This is an exciting
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artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others on the architecture
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existing software artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others
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artifacts and leading customer engagements. The ideal candidate will have significant experience in full software lifecycle development, the ability analyze source code and mentor others on the architecture
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interview notes, transcripts, artifacts, and classroom feedback. Code and analyze qualitative data (e.g., thematic analysis) to identify design requirements, breakdowns, and opportunities for refinement