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practical basic algorithms and data structures in practical implementation experience. High-level programming languages (e.g., Python), proficiency in multiple languages is preferred. Preferably with medical
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to equity, diversity, and inclusion Preferred Qualifications PREFERRED SKILLS Experience with full-stack development Experience with Python, JavaScript, PHP, and/or Perl Experience with scripting languages
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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
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JavaScript (React/TypeScript), Python, Postgre, Docker and more. Short development cycles will involve small but frequent releases, and constant interactions with the bioinformatics platform team members
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on requirements and timelines; troubleshoots problems with teaching and learning technologies. Writes, modifies, and improves code written in languages such as Python and R to automate administrative tasks
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programming in the Java, C, C++, Python and/or Racket computer languages is preferred Ability to effectively manage multiple tasks and priorities. Ability to accurately proofread for spelling, grammar, and
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languages for data analysis such as Python, C++ and Matlab. Knowledge with various microscopy instrumentation such as dual beam focused ion beam/scanning electron microscopy (FIB/SEM) Behavioural Competencies
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-to-date experience in MRI methods. Experience in working with MRI, fMRI, EEG, SPECT, and PET data. Demonstrated knowledge of computer programming (Bash, Python, Matlab, R, Git, HTML). Demonstrated
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 26 days ago
to understand cumulative climate risks, specifically to produce hazard maps and multi-criteria hazard risk assessment methods integrating multiple parameters to estimate the spatial susceptibility of key climate
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, statistics, reports, and visualizations. Utilizes data science tools and techniques—such as Python, SQL, natural language processing, and data visualization libraries—to support internal assurance reviews