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crucial research in the advancements of imaging and machine learning. This position will also conduct translational research, which will seek to apply computer vision and artificial intelligence
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alignment to create system-level composite images. Build and train advanced machine learning models to autonomously detect various PV defects such as hotspots, microcracks. Execute the necessary data
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real
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applying machine learning techniques, and working closely with multidisciplinary teams to extract biologically and clinically meaningful insights into aging and neurodegenerative diseases. Required
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning
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of practice parameters, imaging techniques, cross-sectional anatomy, principles of electromagnetic and computer sciences, patient care/positioning, and MR safety requirements. Skills / Knowledge / Abilities MRI
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, imaging, and clinical data) to identify trends, biomarkers, and insights related to aging and neurological health. ● Apply advanced statistical and machine learning techniques (e.g., predictive modeling
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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) at the University of Florida (UF) is seeking a highly motivated and ambitious Postdoctoral Researcher with a strong background in Artificial Intelligence and Machine Learning (AI/ML). This is an exciting opportunity
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like