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. • Proficiency in software development in R/Python. • Experience with high-dimensional mixed data types or integrative methodologies is desirable. Application Instructions Please submit the following materials
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. Experience with automation/orchestration/scripting tools (e.g., bash, Python, Ansible, MDM). Experience with web application management, security and monitoring (e.g., WordPress). Experience with cloud
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Qualifications Proficient in programming languages such as Python, JavaScript, R, and SQL Experience developing Android mobile web apps using React Native, JavaScript, CSS, and HTML Knowledge of software
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of geophysical methods and their applications. Basic knowledge of Matlab//Python or an equivalent computing language. Before applying, please note that to work at McGill University, you must be both authorized
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), obtained less than 5 years ago. Other Qualifying Skills and Abilities: Familiarity and experience with R and Python programming is essential. Experience in the analysis of next-generation sequencing data is
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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languages (e.g., Python), proficiency in multiple languages is preferred. Preferably with medical imaging research experience with a background in applying advanced techniques and methodologies. Basic
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Python and/or TypeScript. We are otherwise fairly language-agnostic and like to see experience across other languages (e.g. Rust). Experience with version control (Git) and CI/CD pipelines. Fluency with
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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
data in Python, or other analytics tools Minimum two years’ experience maintaining databases and ensuring data accuracy, integrity, consistency, and compliance with data governance standards Demonstrated