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Processing (Laboratory Section) Overview: Theory and practice of unit operations including: size reduction-crushing and grinding; size separation-screening and classification; mineral separation
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communicating the results in the scientific literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor
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: Demonstrated ability to interact professionally and empathetically with patients and families. Strong organization and attention to detail, with the ability to manage several activities in parallel
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India, ranging from early devotionals and Bollywood mythologicals to art house and parallel cinema masterpieces to explore key themes in the history and religion of India with a focus on 20th century
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India, ranging from early devotionals and Bollywood mythologicals to art house and parallel cinema masterpieces to explore key themes in the history and religion of India with a focus on 20th century
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discussions on specific regional topics related to human visceral anatomy in parallel with the course curriculum. Undergraduate Course Assistants are expected to actively participate in group meetings, and
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Summary: CBRAIN is a flexible Ruby on Rails framework for accessing and processing large amounts of data across a distributed network of High Performance Computing (HPC) and Cloud Computing
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Engineering. Experience: Experience with traditional metal, polymer, ceramic processes (casting, molding, forming, cutting, joining techniques) as well as expertise with novel processing technologies (3D
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semester by uploading the completed TA application form to your application in Workday: https://www.mcgill.ca/hr/files/hr/1_-_graduate_student_application_for_ta_-_english_-_jan_2021_-_fillable.pdf Upload
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, and statistical evaluation of machine learning models. ● Preferred: Experience with self-supervised learning, natural language processing (NLP), cognitive modeling, and privacy-aware methods. This