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core facilities (including high-performance computing, cryo-EM, genomics, and metabolomics), and a culture of fearless, cross-disciplinary inquiry. The School of Life Sciences invites applications
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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also pursues five key scientific research directions: brain-computer interfaces and intelligent systems; brain decoding and primate models; medical devices and medical equipment; intelligent medicine and
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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: Mathematics, System Theory, Statistics , Computer Science and Technology， Software Engineering, Cyberspace Security, Artificial Intelligence, Intelligent Science and Technology, Computer Technology, Applied
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the integration of artificial intelligence (AI) across research, technical, and administrative domains. This pivotal role will drive the development and execution of a comprehensive digital
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Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related technical field. A strong publication record, with first-author papers
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materials technologies. We focus on the unique physical properties and disruptive application potential of two-dimensional materials, leverage intelligent materials design and multi-scale computational
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Background: An advanced degree (Ph.D. preferred) in Artificial Intelligence, Computer Science, Engineering, or a related field. Leadership Experience: At least 2 years of leadership experience in academic
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are not limited to: Machine Intelligence, AI for Science, Scientific Computing, Robotics, Complex Systems Modeling, Control, and Decision Making, Autonomous Agent and Multi-Agent Learning, Computational