66 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at McGill University
Sort by
Refine Your Search
-
of Mechanical Engineering at McGill University is seeking a Research Assistant 2 for the AI Platform Development for Collaborative Autonomy research project under the supervision of Professor Inna Sharf
-
of Physical and Occupational Therapy Position Summary: Support the E2F project including tasks such as literature synthesis, creation of reports, and development of knowledge translation products
-
Assistants, with one RA connected to each of the following areas: Gastroenterology / Emergency Room Medicine, Clinical Psychology, Community Development, Performing Arts. He is looking to recruit 4 research
-
: Department of Biology (Professor Alanna Watt) Position Summary: Conducts research projects which include, processing rodent tissue for proteomics assays and electrophysiology experiments. Develops and conducts
-
development focused on sustainable nutrition and agri-food systems. Project Purpose The purpose of this research is to understand how entrepreneurship and public health supply networks interact to support or
-
language development. Interest in communication sciences and disorders. Fully trilingual in Spanish, English, and French; with and interest in learning about other non-official languages. TCPS 2: CORE-2022
-
ensuring data quality and reproducibility. · Develop reproducible analytical workflows and well-documented code using R , SAS, STATA and/or Python. · Conduct advanced statistical analyses
-
. Accountabilities to Dr. Molinaro may include: Participate in qualitative coding and analysis under direction of supervisor, prepare summaries. Assist with obtaining data and information from databases for others
-
, hygroscopicity, and surface tension. Prepare figures, research documentation, reports, presentations, and scientific manuscripts. Contribute intellectually to the interpretation of research results and development
-
convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term