Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- University of Waterloo
- Dalhousie University
- University of Saskatchewan
- Canadian Association for Neuroscience
- National Research Council Canada
- Ryerson University
- Nature Careers
- Koziarski Lab - The Hospital for Sick Children
- Mount Royal University
- Northern Alberta Institute of Technology
- Queen's University
- SAIT Polytechnic
- University of Guelph
- Université Laval
- 7 more »
- « less
-
Field
-
): Analytics Environment Setup and Handling Python Environment Setup Proficiency with virtual environments: venv, or conda Package management: pip, and conda, IDE Familiarity Jupyter Notebooks (incl. JupyterLab
-
Learning), COMP 345 (From Natural Language to Data Science), COMP 550 (Natural Language Processing). Data Science in Python/R: Preferably those with project experience in each language. Location
-
, preferably in Information Systems, is a plus. Candidate should have extensive knowledge of programming in Python, especially data management tasks and related libraries and/or should have taught the same
-
Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 4 days ago
machine learning-related discipline. Strong publication track record in top ML, computational chemistry, or computational biology conferences and journals. Proficiency in Python, demonstrated through
-
basic scripting in Image J, Matlab and Python - Excellent attention to detail and record keeping - Excellent time and project management skills Before applying, please note that to work at McGill
-
engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
-
analysis and multivariate statistics (preferably using Python), to enhance building energy performance (and/or reduce building greenhouse gas) Experience in the full spectrum of research activities including
-
modelling workflows using Python, Julia and/or R. Education/Experience: PhD in related field with 5 years experience following PhD (PhD received in 2020 or earlier). Strong computational and environmental
-
completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
-
, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data