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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
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Job Description Apply now Req Id: 39701 Job Title: Recruitment Specialist (Military Engagement) City: Remote Job Description: Job Summary The Recruitment Specialist (Military Engagement) is a key
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We are seeking to appoint a postdoctoral research associate in Machine Learning and Chemometrics for Antimicrobial Resistance for 18 months. The successful candidate will carry out research
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 16 hours ago
engineering will be considered, particular emphasis is on computer systems and design aspects that enable real-world AI applications, including hardware-software co-design for machine learning, learning-enabled
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. Department of Defense, government research facilities and industry. Strong research, machine learning, data analysis, and excellent communications skills are needed. U.S. citizenship required. Application
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innovative courses and fostering strong industry connections. Expectations Candidates will be responsible for developing a machine learning prototype model using C++. The successful candidate will have a