25 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH) in United Kingdom
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part-time positions are available for those committed to application-oriented education. Job Responsibilities Teach and assess at least 3 courses in the following core subjects: Data Analytics & Machine
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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, Machine Learning, Statistics, or closely related field Strong expertise in data analytics and machine learning Strong foundation in mathematics for machine learning Ability to work effectively in
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Analytics & Machine Learning Fundamentals of AI Deep Learning & Neural Networks Computer Vision & Natural Language Processing Develop course materials and curricula aligned with international standards and
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Engineering Machine Learning) Operations Research and Optimization Methods CAD (Computer-Aided Design) Develop course materials and curricula aligned with international standards and industry intelligent
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programming courses) C++ (for advanced programming and system-level development) Strong foundation in object-oriented programming principles and software design patterns Experience with AI/Machine Learning
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in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Robotics or closely related field Strong background in embedded systems, robotics, and related software
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global
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courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global