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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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: 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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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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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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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
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networks, machine learning, Markov models and other computational approaches to biology are important. Familiar with analysis and data visualization. Enrolled in an undergraduate degree. Location
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and revise existing IMAGE machine‑learning components to optimize efficiency, scalability, and quality of results. Implement conversions of existing non‑LLM components to LLM‑based approaches where
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nominated to become a core member of Mila – the Quebec Institute for Artificial Intelligence. McGill and Mila offer opportunities for interaction with world-class researchers in machine learning, statistics