Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
). 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
-
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
-
, 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
-
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
-
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
-
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
-
., 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
-
, 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
-
. Qualifications: Graduate student at McGill. Experience in python/R programming, experience with virtual environments. Successful completion of EXMD 609. Hourly Salary: $36.25 Position Start Date: 2025-05-08
-
applications to automate workflows (e.g., using Python, ArcGIS API, FME) Embed spatial tools within StoryMaps, dashboards, or other web environments Evaluate and recommend technologies that improve data