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Field
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biological and engineered systems – Data-driven modeling and simulation in bioengineering – Digital twins and predictive modeling for biological systems – Signal and image processing for bioengineering
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deep learning for complex biological and engineered systems Data-driven modeling and simulation in bioengineering Digital twins and predictive modeling for biological systems Signal and image processing
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and
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professional development and work with the technology transfer office to identify potential inventions and understand IP processes. Collaborate in preclinical and translational research projects involving murine
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Brain-Computer Interfaces Biomaterials and Biomanufacturing Organoids and Organ-on-a-Chip Technology Medical Imaging Medical Instruments and Robotics Multi-Omics, Bioinformatics, and AI for health
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, gene editing, medicinal chemistry, and DNA-encoded library (DEL) technology, among others. For detailed information, please visit us at https://siais.shanghaitech.edu.cn/ . Join Our Institute: Faculty
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of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS). Positioned at the frontier of global science and technology and guided by major national strategic missions, the Laboratory addresses synthetic