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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI. Responsibilities: Conduct research on automated reasoning and
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Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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hallmarks of the University’s mission. @WorkAtNYUAD Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413838/post-doctoral-assoc… Requirements Additional Information Work Location(s
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Ref.: 537420 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow (several posts
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compensation package commensurate with the selected candidate’s qualifications and experience. Applications for relevant projects and programs will be encouraged and supported. Post-doc(s) who are selected by
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less than 5 years post-receipt of the doctoral degree. Relevant fields include computer science, information science, data science, network science, computational social science, economics, political
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before starting—in computer science, electrical or computer engineering, information science, or a closely related discipline. Less than 5 years post receiving the Doctoral degree. Meet the mandatory
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Description The Division of Engineering at New York University Abu Dhabi seeks to recruit a motivated Post-Doctoral Associate to conduct research in structural mechanics under the supervision
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias