Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Innovation (R+I) in accordance with the unit’s goals and objectives while ensuring coherence with the University’s research mission. The role of the incumbent is primarily planning, managing, development and
-
Code: MUTH 101 001 Location: SADB, 1/12 Schedule: T R, 08h35 - 09h55 Deadline to Apply: 2025-08-06 McGill University hires on the basis of merit and is strongly committed to equity and diversity within
-
the preparation of figures and power point presentations. Assists with manuscript preparation and formatting. Qualifications: Good communication skills. Familiarity with the R programming language. Experience and
-
and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
-
(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
-
). 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
-
: Department of Biology (Professor Brian Leung) Position Summary: Literature searches in the field of environment and ecology. Data processing such as extracting and cleaning data in R. Assist with interpreting
-
). 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
-
. • Familiarity with data dashboarding softwares such as R, Python, Excel, etc. • Strong organizational and analytical skills • Interest and/or background knowledge in sustainability is a plus Before applying
-
date: September 1st, 2025 End date: December 22, 2025 Position Summary: - Assist the instructor in delivering the interactive and dyadic teaching materials (this will include statistical programing in R