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areas: wireless security, wireless communications, AI/machine learning for communications, covert communications, signal processing, and/or RF design. Ability to conduct research independently and
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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of multi-modal datasets, including MRI/fMRI, behavioural and audio data Develop reproducible statistical and machine learning analysis pipelines Support grant writing, ethics submissions and project
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: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top-tier machine
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research
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software engineering. • Track Record: Strong publication record in leading machine learning, artificial intelligence, data science, or evolutionary computation venues (e.g., ICML, ICLR, NeurIPS, AAAI
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partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Advanced Vehicle Engineering Centre focuses primarily on the development
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research. Job Requirements: PhD in Computer Science or relevant fields; Strong background in machine learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in