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Molecular Imaging • Digital Technology and Medical Instrumentation • Neural Engineering and Brain-computer Interface Vacancies: • Full-time faculty positions: tenured or tenure-track assistant professors
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Biology Research Centre at Human Technopole combines computational and experimental techniques to study how tumours arise and evolve. Our goal is to measure the evolutionary processes in human cancers
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of Electronic and Electrical Engineering Department of Computational Biology and Medical Big Data Faculty of Biomedical Engineering Department of Life Electronics Department of Imaging and Information Department
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Intelligence, Brain-inspired Computing, Human-Computer Interaction, Flexible Wearable and Intelligent Integration System, Machine Learning, Data Mining, Big Data Platform, Cloud Computing, Distributed Computing
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recognition, automation science, complex systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first
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at elucidating the fundamental molecular mechanisms underpinning diverse pathophysiological processes; Develop and supervise the establishment of a world-class research programme in health data science; Foster a
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biology applied to human health. However, priority will be given to research programmes in one of the following areas: Computational Imaging & Computer Vision. Developing novel algorithms for quantitative
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health. HT focuses on 7 main research areas (Computational Biology, Structural Biology, Genomics, Neurogenomics, Health Data Science, Molecular Cell Biology, and Biophysical Modelling and Simulation
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a multidisciplinary and integrated approach combining genomics, computational and structural biology, neuroscience, and data and decision sciences. The Human Technopole Foundation is looking for one
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) models. Dive into diverse deep learning models to process complex datasets, including omics, phenotypic and imaging data, to reconstruct cancer evolution and discover new cancer biomarkers. Be