135 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Carnegie Mellon University
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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
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of the research process. Your work will be supervised by Dr. Matthew Denes (Assistant Professor of Finance, Carnegie Mellon University). Core responsibilities include: Obtain and manipulate data from various
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our university policies. Support Accounts Payable (AP) and Receivable (AR) activities, including invoice review, coding, and deposits. Maintain organized financial records and support our audit
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or qualitative coding. Familiarity with workplace surveillance topics, employee-monitoring platforms, or privacy/ethics debates. Basic data-cleaning or scripting skills and comfort producing simple data
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environments. This role includes guiding technical teams, evaluating architectural tradeoffs, developing prototypes, analyzing existing source code, and leading customer engagements that inform acquisition and
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online testing of the planner in different operational configurations Conducting extensive simulation testing of the planner in a variety of uncommon configurations Documenting the code and supporting
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responsible for providing high-quality animal care, assisting with research procedures, and ensuring compliance with institutional, federal, and regulatory standards. The technician will work closely with Dr
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, uncertainty and calibration approaches, and repeatable test pipelines. Engineering rigor appropriate to the task: Write clear, maintainable code and documentation with a level of engineering discipline
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Reverse Engineer Researcher for the Threat Analysis directorate. The SEI is a federally funded research and development center at Carnegie Mellon University. What you’ll do Reverse engineer malicious code
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, uncertainty and calibration approaches, and repeatable test pipelines. Engineering rigor appropriate to the task: Write clear, maintainable code and documentation with a level of engineering discipline