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management and analysis - (Optional/Preferred) learn and contribute to statistical analysis using basic programming tools (R or Python) Qualifications: MUST be enrolled at McGill University in a B.Sc. program
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | 15 days ago
or therapy.-Proficiency in Python and ML frameworks (TensorFlow, PyTorch).-Familiarity with speech processing, ASR and NLP- Strong teamwork and communication skills.Funding & Conditions- Minimum 27,000 CAD
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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
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. Qualifications: Candidates must be enrolled in a graduate program within the Department of Human Genetics, or in another graduate program at McGill University, for the Winter 2026 term. Proficiency in python
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and tools (e.g., Python, TensorFlow, PyTorch). Experience with CAD software and familiarity with manufacturing processes is an asset. Excellent analytical, organizational, and communication skills
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considered. Experience: Proficiency in atomistic-scale modeling and python or C/C++ programming required. Prior teaching experiences (including teaching assistant experiences) on MIME 473 or equivalent courses
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and implementation. Sensor networking through wireless, cellular or Wi-Fi connectivity. Data analytics and programming skills (e.g., MATLAB, C++, Python). Solid understanding of analog, digital, and
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, 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
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Carlo) methods, scenario-based risk optimization, hedging, uncertainty modeling, asset pricing, simulating stochastic processes, and numerical solutions of differential equations. Python is the primary
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of financial technologies and software (e.g., Bloomberg, Python for Finance, R or similar tools). Actively participate in departmental, college, and university committees and academic initiatives that support