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, focusing on high-performance deep learning for neural implicit reconstruction of ultrasound data. The goal is to advance the scalability and efficiency of neural radiance fields (NeRFs) and related
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qualifications, the need to acquire experience, previous experience, and previous satisfactory employment under the provisions of this collective agreement. Application Procedure: For detailed information
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Responsibilities: To conduct independent research in deep learning and large language models. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in
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-campus for the Fall 2025 Semester (09/02/2025 - 12/14/2025) Course: Deep Learning This course covers the theory and practice of deep learning, including neural networks, convolutional networks, and
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the internationally renowned INTERGROWTH-21st Consortium. This role involves developing advanced deep learning techniques to identify early indicators of fetal vulnerability using clinically-acquired ultrasound (US
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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and Immigration website . Full-Time, Fixed-Term (24 months) Applications are invited for the post of a Data Scientist (KTP Associate) for Deep Learning and Image, Audio and Video Processing. The project
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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September 2025 or later. You can submit your application via the link under 'how to apply'. Title Deep learning and software engineering for next-gen plant phenotyping Research area and project description
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Better Personalization of Deep Learning-Enhanced Hearing Devices - Royal National Institute for Deaf People (RNID) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD Research