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Health Prevention: Investigate how LLMs associated with deep learning can be used to identify early signs of mental health disorders by analyzing digital diaries, questionnaires, voices features, physical
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Feedback control of tokamak plasmas via deep learning policies with robustness guarantees (S3.5-ELE-Drummond) School of Electrical and Electronic Engineering PhD Research Project Competition Funded
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Optimising treatment outcomes for pulmonary arterial hypertension using deep learning-based analysis of novel perfusion magnetic resonance imaging (S3.5-SMP-Sourbron) School of Medicine and
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on this critical stage. Specifically, you will research deep learning models for image segmentation to detect damage to concrete buildings. Since conventional models require large amounts of precisely labeled
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic
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This Ph.D. project aims to combine causal analysis with deep learning for mental health support. As deep learning is vulnerable to spurious correlations, novel causal discovery and inference methods
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‘dynamic graphs’. Although recently many studies on extending deep learning approaches for graph data have emerged, there is still a research gap on extending deep learning approaches for identifying
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cardiovascular MRI, cardiac diffusion tensor imaging, and machine learning or deep learning methods applied to imaging is highly desirable. You will be a collaborative and motivated researcher, capable of working
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Description The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful