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Python, Stata, R, or similar statistical programming languages. Assist with occasional projects working with administrative data to inform operational decision-making and strategic planning within the law
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, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes
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related field. Strong background in solid mechanics, materials physics, and crystallography. Experience developing tools using Python, C/C++, MATLAB, etc. Demonstrated ability to conduct independent
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Experience with population genetics or statistical genetics Familiarity with Bayesian methods, probabilistic modeling, or graphical models Experience with scientific computing in Python, JAX, Torch, Julia, C
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knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and
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indigenization, equity, and environmental sustainability, AI research and development. The Postdoctoral Fellow will have shared supervision by Dr. Sara Diamond, OCAD U and Dr. Maya Chacaby, York U, with