1,076 gender-studies-"https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions
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of the recruitment and description of the project] * Background of the recruitment and description of the project 【Outline of position】 We have secured funding to work on a project studying high speed magnetisation
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» OtherEducation LevelPhD or equivalent Skills/Qualifications Degree in the field of Communication, Anthropology, Sociology, or another Social Science. Master’s degree in Communication, Sociology, Gender Studies
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eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits. EEO
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Posting Summary Logo Posting Number RTF00204PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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. Outstanding research, state-of-the-art facilities and world-class faculty support discovery and innovative solutions. Researchers and faculty across campus advance interdisciplinary and emerging research and
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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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. ARCNL assists any new foreign researchers with housing, subject to availability, and visa applications and compensates their transport costs and furnishing expenses. Other conditions offered by ARCNL
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers, The State University of New Jersey, is seeking a highly qualified candidate for a Postdoctoral Research Associate
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Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) (https://haicinstitute.org/), a $21.5 million multi-institutional research initiative across the University
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study