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digital learning platform for educators and learners. The role offers an exciting opportunity to work at the intersection of technology, education, and digital innovation. The postholder will be responsible
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whose scholarship or teaching connects to the mathematics of artificial intelligence and machine learning. The teaching load is two courses per semester. Bowdoin is particularly interested in candidates
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sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform both
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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advanced machining skills while supporting projects that advance discovery and learning. You'll join a collaborative environment where technical expertise is valued and where your craftsmanship helps turn
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computer skills and the ability to learn electronic medical records and other software systems. Preferred Qualifications Associate’s degree in related field Experience in a high-volume call operation
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telecommunication as well as IT technologies. The experience in the field of data processing in radioelectronic systems, pattern recognition, neural networks and machine learning technology is especially desirable
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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presence in artificial intelligence (AI). This is an open search and we anticipate more than one hire. Successful applicants will have expertise in AI and machine learning and will lead independent research