9 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions at Peking University
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Description: Apply Position Description KIAA-PKU Postdoctoral Research Fellows on Early Growth and Evolution of Quasars The Kavli Institute for Astronomy and Astrophysics (KIAA) at Peking University invites
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are required to identify faculty members with whom they could develop and pursue collaborative projects. Applications for KIAA Fellowships should be submitted at https://academicjobsonline.org/ajo/jobs/30597
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, environmental systems analysis and decision support, and policy analysis. Candidates should demonstrate a strong commitment to excellence in independent research. We expect candidates to develop
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) observational cosmology, galaxy formation and evolution, (2) planetary systems, star formation, and stellar populations, (3) high-energy and gravitational physics, (4) particle astrophysics, and (5) computational
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accepted after 2025/08/31 11:59PM US Eastern Time. Fellowship Description Beijing International Center for Mathematical Research (BICMR) at Peking University have multiple post-doctoral positions available
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Peking University, Kavli Institute for Astronomy and Astrophysics Fellowship ID: Peking University-Kavli Institute for Astronomy and Astrophysics-PLANETFORMATION2025 [#30670] Fellowship Title: PKU–THU Planet Formation Fellowship Fellowship Type: Fellowship or award Location: Beijing, Beijing...
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Peking University, Beijing International Center for Mathematical Research Position ID: PKU -FACULTY4 [#25019] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Beijing, Beijing 100871, China [map ] Subject Area: Mathematics Appl Deadline: none (posted...
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Peking University, Beijing International Center for Mathematical Research Position ID: PKU -FACULTY1 [#25016] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Beijing, Beijing, China [map ] Subject Area: Mathematics Appl Deadline: (posted 2024/08/28, listed until...
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research in Statistics and the application of statistical methods to solve real-world problems in medicine and public health. The research will specifically involve developing innovative analytical methods