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proficiency in: Linux. git, remote computing, containerization technology. Ideally, candidates should have experience with Python, and knowledge in modern Data Science methods. Knowledge of neuroimaging
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, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
interdisciplinary collaboration. Demonstrated programming skills, preferably in Python (e.g., PyTorch, NumPy, pandas, polars). Experience with spatial and/or temporal data analysis (geographic data, satellite imagery
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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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attention to detail in all tasks. Demonstrates sound judgment, maintaining confidentiality, discretion, and strong interpersonal and organizational skills. Experience coding in Python. Knowledge of gene
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., MATLAB, Python) and statistical data analysis. Strong background in lipid nanoparticle systems and RNA delivery technologies is highly desirable. Experience in developing novel imaging assays and analyzing
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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
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Engineering, or a closely related field (within the last 2–3 years). Strong background in AI/ML, with experience in Python, PyTorch, and related tools. Experience with time-series prediction, control systems