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approved, McGill University Education/Experience: Expertise in coding in Matlab, Python or other computational languages as well as with neural networks, machine learning, Markov models and other
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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Introduction to Programming for the Spatial Sciences Key Responsibilities • Lead lab sections, two hours per week, throughout the semester • Grade assignments (Python code) • Hold office hours to answer student
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proficiency, e.g. Python, VBA, MS Excel (or any other object-oriented language) Knowledge of Application Program Interfaces (API) Proactive and self-motivated to initiate activities without specific instruction
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Computer Science or related field (recommended). Any educational training in Biology/Ecology would be considered an asset. Experience: Experience in python and web programming, image analysis algorithms, developing
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systems (RTOS) such as FreeRTOS or Zephyr. Experience with cloud-based data ingestion and analytics tools. Proficiency in programming languages including Python, C++, and/or Java. Familiarity with IoT
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ability to communicate effectively, both verbally and in writing. Must be proficient with Microsoft operating systems, Excel, Access, Word. Demonstrated ability to use statistical software including Python
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, and inclusion Preferred Qualifications Ideal candidates should have a solid grasp of: Intermediate algorithms and data structures. High-level programming languages (Python, JavaScript, etc
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. Strong knowledge and experience in Python Back-End Skills: Django/Flask/FastAPI, REST APIs, database integration (SQL/NoSQL, ORMs), and async programming.. Strong knowledge of Python Automation & Tools
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Experience coordinating and overseeing exam activities, processes and timetables Experience running queries and writing program scripts using MATLAB/Python/R Demonstrated experience with manipulation of data