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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, implement data cleaning, train research team on image analysis using Python, FSL, SPM, Freesurfer, and other platforms. The incumbent will further support the software and hardware environments for successful
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Teaching Assistant or closely related job occupation in a business school. Skills: Experience to include, 12 months of experience teaching Information Security and Python programming in a business school and
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or education deemed equivalent; experience in the field Excellent technical knowledge of systems programming, and strong programming ability in several of: Python, C/C++, Rust, OCaml, or other functional
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. Solid programming skills (Python preferred; experience with PyPSA, MATPOWER, or similar modeling tools is a strong advantage). Reflective, analytical approach with aspirations to publish in high-impact
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existing pipelines (R/Python) and contribute to development of reproducible analysis workflows. Maintain meticulous experimental records, data organization, and documentation. Support data analysis and
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analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing, and maintenance of reproducible software tools and
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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tasks Good PC Skills, with ideally some knowledge of python, R or Matlab Strong organizational skills and flexibility in responding to changing priorities Excellent verbal and written English skills
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(PowerShell and Python) to reduce manual processes across certificate lifecycle management, backup tasks, and system provisioning Observability, Governance & Operations (5%) Support, maintain, and improve
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, irrigation, soil moisture, evapotranspiration, precision agriculture or related research Proficiency with R, Python, GIS, SQL or similar data analysis and visualization tools Experience managing research