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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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environments You have proven experience in applying statistical methods to large datasets. Familiarity with methods in machine learning and/or statistical inference is desirable but not essential Experience in
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recognition, automation science, complex systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first