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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
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include the development of the CRISPR CAPTURE approach ( Cell 170:1028), the analysis of rewired BCAA metabolism ( Cancer Discovery 9:1228), the role of pathogenic non-coding variants ( Cancer Discovery
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with Disabilities Act (AODA), the Ontario Human Rights Code, and our Access and Accommodation Policy, we will accommodate the needs of applicants. Please email faculty.office@sickkids.ca with your
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for deploying and scaling healthcare AI models. Writing clean, efficient, and reusable code for healthcare machine learning applications. Strong analytical mindset to analyze complex healthcare data, derive