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SJCRH The St. Jude Affiliate Program is seeking a faculty member to serve as the program rotating physician. The St. Jude Affiliate Program is a network of clinics, hospitals, and universities
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We offer We offer a Principal Investigator position where you will lead your innovative, technology-focused research line, expand the department's computational core, and drive large-scale, data
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
for Materials Science, AI for Life Science, and Computational Mathematics. We welcome candidates whose research aligns with these directions and who are eager to contribute to an open, cutting-edge, and cross
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The Asia Pacific Center for Theoretical Physics (APCTP) opens a few positions for the Young Scientist Training program at the postdoctoral fellow level in theoretical physics and related fields
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in several areas of theoretical and computational physics including, but not limited to, statistical physics (including AI related physics) and large-scale simulation of quantum many-body systems
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Title: Associate or Senior Editor, Nature Reviews Computing Location: Shanghai or Seoul - hybrid working model Closing date: January 31st, 2026 About Springer Nature Springer Nature is one
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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The Director Computational Research leads and manages large/critical complex areas or teams within the department related to Computational Research. Contributes to the overall research strategy and
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of Immune Engineering (BIIE), which aims to develop innovative computational and immune-based solutions for pressing health challenges, particularly those affecting children and adolescents, and encourages
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial