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APPLICATION CLOSING DATE: April 13th, 2025 The integration of Artificial Intelligence, mathematical modelling, and advanced computational simulations of biological systems is transforming biomedical
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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applicants may send resumes to the human resource department by email with the title of “Name + Particular Program Application”, e.g., Alice+Tenure-track Associate Professor Application, or Bob+ the PUMC Young
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at the Professor, Associate Professor, and Assistant Professor levels. Post Specification The ideal candidates are expected to perform research and teaching in the following areas: Mathematics, Physics, Chemistry
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; Good educational background and systematic scientific research training; Doctoral graduates and post-docs within the job-seeking period; Ability to engage in scientific research work； Applicants must
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Support Program, 2 talents with the National Outstanding Youth Fund as well as more than 30 winners of various national, provincial and ministerial talent projects. With advanced technology and equipment
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advancement of AI technology, which is currently approaching maturity, the development of novel brainmorphic computing system based on neural information processing is an urgent issue. The Brainmorphic
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programs and areas. Link to Westlake University Homepage:https://en.westlake.edu.cn/ Link to School of Engineering Homepage: https://en-soe.westlake.edu.cn/ Program 1: Artificial Intelligence and Data
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innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable
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organizational, management skills. (4) Candidates should be a dedicated leader and mentor to faculty, post-docs, students, and staff. (5) Candidates with clinical-related background and/or translational research