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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Machine Learning Engineer/Scientist Department Bashashati Laboratory | School of Biomedical
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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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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 SageMaker, Amazon Bedrock, OpenAI
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Position End Date (If Applicable) 1/7/2027 DUTIES The successful candidate will instruct all theoretical and practical aspects of the Industrial Mechanic (Millwright) Trade Sampler, Foundation Program and/or
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candidates whose research develops and applies innovative statistical, machine learning, or AI methods to solve complex problems in biostatistics, epidemiology, public health, or related areas. In accordance
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demonstrating clinical techniques, guiding experiential learning, and promoting safe and effective practice using simulation models, cadavers, and live animal experiences. The instructor contributes
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, Tableau, AWS QuickSight, IBM, Google, etc Technical Expertise in three or more of the following competencies AI & Machine Learning: Proficiency in ML algorithms, deep learning architectures, NLP, computer
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The University and Employment Preparation Department at Thompson Rivers University invites applications for a sessional faculty member to teach the following Adult Basic Education course at Lytton First Nation, BC
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final budgetary approval, at the Rank of Assistant Professor. Mount Royal’s Faculty of Science and Technology offers Bachelor’s Degrees in Biology, Chemistry, Computer Science, Computer Information