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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 2 months ago
discipline quantitative connexe; cinq années d'expérience en enseignement postsecondaire; excellente connaissance de l'informatique statistique (R ou Python, SAS); bilinguisme (français et anglais). Poste à
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/RNA sequence analysis and manipulation in Linux/Unix environments. Experience** programming and scripting for bioinformatics applications using one or more languages such as Python, R, Bash (Unix shell
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Skills and/or Abilities Able to work in a team. Capacity to navigate large code bases. Good time management skills. Programming: React, Kotlin. Python and R an asset. Web: HTML & CSS. Enrolled in the Work
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communication skills with ability to work with internal and external stakeholders. High level of proficiency with MS Office Suite (Word, Excel, Access, Outlook), Windows. Knowledge of Linux/ Python would be
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CENIT. Your responsibilities will include: Designing, testing, and modifying complex C, C++, and Python codes as well as Shell scripts in the context of network applications, services, routing protocols
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to biological, imaging, or clinical data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with
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, Python-based proof-of-concept. Develops and maintains robust software (primarily in Python) for DICOM tag de-identification and replacement, folder reorganization, and automated data quality control and
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findings. Successful candidates will have a strong quantitative background, proficiency in programming languages such as Stata, R, or Python, and a keen interest in pursuing a PhD in economics or a related
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. Advanced proficiency in OpenSees and OpenSeesPy, together with strong Python programming skills and experience developing reusable, documented, and version-controlled computational tools and workflows
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an engineering project; Experience with project scheduling, planning, or project management tools such as Microsoft Project, Jira, Azure DevOps, Primavera, or equivalent; Programming experience using Python