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Field
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The project: An exciting opportunity is available for a talented and motivated PhD candidate to pursue cutting-edge research on applying generative artificial intelligence and reinforcement learning
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over 40 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised learning, diffusion
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, the verification topics that may be explored include (but are not limited to): statistical model checking improving verification with deep learning completeness and consistency of formal specifications
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explore a variety of deep learning solutions, including voice synthesis, audio watermarking, and voice spoofing detection. Funding is offered by the Centre for Doctoral Training in Complex Integrated
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annotations with gene-/region-based methods to empower the detection of rare variants predisposing to MASLD. In addition, by applying deep learning methods, you will assess the capability of partitioned
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opportunities to validate the methods on challenging real-world problems involving computer vision. There will be a strong focus on deep learning, image analysis and neural language modeling within the project
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Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex
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resources, the practical value for ADAS is maximized. Topic B) To develop novel acoustic Deep Learning techniques to achieve state-of-the-art performance in multi-sensor environment perception for autonomous
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Director and the assistant director, data science,, the successful candidate will conduct deep learning and machine learning activities to support: scaling up automated scoring (AS) of open responses scaling
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, natural language processing, and deep learning, will explore how fine-grained supervision signals and a new construction paradigm can improve the faithfulness and interpretability of dense and learned