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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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of a 3D ultrasomics AI prognostic system for adolescent idiopathic scoliosis progression via longitudinal surveillance scans”. Qualifications Applicants should have experience in image processing and
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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Job Description LIFE SCIENCE IMAGING CENTER Research Assistant (25260649) The research assistant is expected to contribute/support cognitive neuroscience research on interdisciplinary projects
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our
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fuzzing-based approaches; (c) assist in the development of prototype systems for vulnerability detection and exploit generation; (d) explore the use of Large Language Models (LLMs) and agent-based
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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk