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! The Machine Learning Department (MLD) is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI
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Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer
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required. Background in a technology-related field such as computer science, electrical and computer engineering, or machine learning preferred. Experience and interest in teaching, knowledge and interest in
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/remote users. Your core responsibilities will include: Designing, synthesizing, and characterizing a variety of nucleic acid nanostructures and machines Collaborating effectively to provide nanostructures
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graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection. Background in graph theory, graph learning/inference, and graph mining. PhD must have
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of computational reproducibility best practices; Familiarity with machine learning concepts and large language models. Deep expertise is not required, but candidates should be comfortable engaging with