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Posting Details Position Information Position Title Distinguished Research Fellow, School of Engineering and Applied Sciences Department School of Engineering and Applied Sciences Posting Number
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, New York 14853, United States of America [map ] Subject Area: Science and Technology Studies Appl Deadline: 2026/01/15 11:59PM ** (posted 2025/07/29, listed until 2026/01/15) Position Description
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interaction and strong administrative support. KAIST, the leading university in science and technology in Korea and one of Asia’s top research institutions, is located in Daejeon with convenient transportation
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/or structural modeling preferred. Sociology: PhD in Sociology or Organizational Behavior with expertise in computational social science, organizational theory, social networks, science and technology
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
Job Posting Title: Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering ---- Hiring Department: Walker Department of Mechanical Engineering
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fellows with a comprehensive introduction to the structure, responsibilities, and impact of a Medical Affairs department, both within the organization and in its interactions with the broader healthcare
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members are leaders in a wide range of experiments, including: investigations of the flavor and spin structure of the nucleon (STAR at RHIC, Belle II at KEK); studies of parity and time reversal violation
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science, or engineering. Important Dates Please submit all application materials to https://apply.interfolio.com/175206 by March 1, 2026, 11:59 pm. Funding can begin as early as May 2026. Terms The Postdoctoral Fellowship
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stakeholders Track record of scientific creativity and problem-solving in research activities Preferred Qualifications Experience with agentic AI systems, prompt engineering, or multi-agent frameworks