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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the
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Trust in Online Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in
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and Artificial Intelligence. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137704 Requirements Specific Requirements Candidate profile Applicants should hold a PhD in
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Artificial Intelligence in Higher Education, with a particular focus on STEM. Join our team at the Division of Engineering Education Research (EER), Department of Communication and Learning in Science (CLS
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) Positions PhD Positions Application Deadline 23 Apr 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 1 Jun 2026 Is the job
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We are seeking a strong and independent postdoctoral researcher in Artificial Intelligence in Higher Education, with a particular focus on STEM. Join our team at the Division of Engineering
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support and offer all students fair educational opportunities regardless of their background. Artificial intelligence, particularly in the form of large language models (LLMs), is widely regarded as a
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. What you bring We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this? PhD degree in Artificial Intelligence, Computer Science, Biomedical
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seconded to GBAICTI as its Data Scientist (Artificial Intelligence)) (Ref.: 534816) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government
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certificate recommendation letters, if available (max 3) writing samples (max 3), e.g. PhD thesis and published papers Your Profile strong background in machine learning/artificial intelligence experience in