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facility inspection, surveillance, face recognition, crowd counting, and vital sign measurement. The integration of deep learning into multimodal information fusion has recently attracted significant
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an opportunity to delve into the area of geometric deep learning within the broader landscape of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and
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research in 3D scene analysis and generative diffusion models. Project description This PhD position offers an opportunity to delve into the area of geometric deep learning within the broader landscape
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or mathematical statistics, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is August
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The Department of Mathematics and Mathematical Statistics is opening a PhD position in mathematics or mathematical statistics, focusing on geometric deep learning. The position covers four years
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
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pathomics dedicated to personalized medicine. This innovative and rich approach stems from the explanatory integration of deep learning in computational histopathology as well as spatial transcriptomics
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the WASP AI program, focusing on geometric deep learning. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is 10 June
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causal relations between genetic alterations and disease phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type