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for innovation. The successful candidate will work with a variety of AI and machine learning frameworks, including open-source libraries (e.g., Hugging Face, LangChain, spaCy), cloud AI platforms (e.g., AWS
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health
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record in computational psychiatry, with expertise in natural language processing (NLP), computational linguistics, machine learning, and/or artificial intelligence methods. Scientists from any discipline
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pressure, prioritize to handle work volume, and meet deadlines Strong attention to detail necessary Excellent writing and presentation skills Experience with standard computer software applications (e.g
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this process, training users to use the interface and developed wrappers/drivers, and reporting tasks therein. This is a 2-year term position with the possibility of renewal. Your responsibilities will include
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skills (e.g., modeling, spreadsheet and word processing). Demonstrated ability to work independently with minimal supervision, and in a cooperative manner with a wide range of internal and external
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setting up experimental equipment, managing experiments and data collection and analysis preferred. Familiarity with composites manufacturing and/or design methods and computer skills (e.g., modeling
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the major cause of permanent disability in multiple sclerosis (MS) and other neurological diseases. Using the latest in computer modeling, molecular and imaging technology, we have invented a series of
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education. Administrative training (diploma or certification) is required. Excellent computer skills including word processing, spreadsheet management, electronic file organization and management and the
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity