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selection-mass spectrometry or a similar technique, mass spectrometry for characterizing chemical mixtures or proteomic samples, and programming in Python or C. The ideal candidate should have experiences
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students and/or in running instructional labs is an asset. Knowledge of software tools relevant to our First Year Engineering program, such as MATLAB, Canvas, Crowdmark, Mobius, Python, MS Office, and
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development experience using Python, ROS2 and software engineering techniques. Extensive knowledge of ML, DL and RL tools, theory and applications. Before applying, please note that to work at McGill University
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maintaining network infrastructure, servers, and security protocols. Strong scripting and automation skills (e.g., Bash, Python), including experience with deployment tools, operating system automation, and
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parallel execution (eg. Batch scheduling, MPI, MP, compute cluster environment) Linux Operating Systems Research Data Management (RDM) Coding using scripting languages (eg. Python, Bash etc) Project
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candidate will have strong data analysis skills, attention to detail, and an ability to work independently. Qualifications: Experience with data collection and cleaning • Programming experience in Python
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using Python. Python and IBM Watson Analytics are modeling and visualization software used in this course. Practical aspects of computational models and case studies in Interactive Python are emphasized
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operations management, proficient in Python, and the ability to manage grades and course admin tasks on Quercus. Class Schedule: Courses may be online or in person depending on circumstances, so candidates
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office hours • Helping students with Python • Updating course materials Qualifications: • At least two statistics courses • Comfort with regression analysis (knowledge of time series methods is a bonus
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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors