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: Machine Learning for Engineers; Mark Coates ECSE 552: Deep Learning; Amin Emad McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We
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degree in computer science 2 years of experience in machine learning research and development Strong background in generative AI Expertise in deep learning, generative AI, reinforcement learning
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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seeking a Senior Analyst specializing in artificial intelligence and data analytics to support researchers across a wide range of disciplines in the effective use of advanced computing and machine learning
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Liquid Argon Calorimeter system. Use novel high-level synthesis approaches developed internally (based on functional programming abstractions), to optimize the implementation of machine learning models and
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instruments such as manual and computer-controlled (CNC) lathe, drill, milling machines, CAD programs, hand and power saw, thermo-forming machine, extrusion machine, surface-planer machine, spindle-molding
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: Experienced in applying machine learning and data science tools (TensorFlow, PyTorch, pandas, NumPy, Scikit‑learn) to analyze and model complex atmospheric and environmental datasets. Proficient in multi
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style Attention to detail Clear oral and written communication skills Experience and Education BSc in a related field with relevant coursework 1-2 years additional experience Background in NLP, machine
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across the CBRAIN team. Other Qualifying Skills and/or Abilities Bachelor's degree or 3-year post-secondary program with a concentration in computer science or related computer technology. Five (5) years
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biostatistics and epidemiology Expertise in quasi-experimental, econometric methods and other advanced methods (e.g., longitudinal data analysis, trial emulation, interrupted time series, machine learning