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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Industrial technological solutions based on the integration of BIM, artificial
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
and critical introduction to artificial intelligence (AI) systems and their governance. Designed for future policy leaders, technologists, and analysts, the course blends technical foundations with real
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of this charter. For more information about the School of Criminology and Criminal Justice, Watts College of Public Service and Community Solutions, and Arizona State University, please visit the following: http
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, including regional campuses in Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health
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is to become an international hub for the research-based integration of interdisciplinary competence in education. CINPLA addresses learning and representation in natural and artificial intelligence
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our multi-disciplinary initiative in Trustworthy Artificial Intelligence (AI), which studies AI in the context of the systems and society in which it is deployed. Areas of interest include, but are not
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About the Opportunity About the Opportunity Northeastern University invites applications for a non-tenure track open rank Teaching Professor position in artificial intelligence and health data
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technology transfer activities in multiple areas of Artificial Intelligence (AI). With an annual budget of 17 MCHF and about 170 researchers and collaborators, Idiap is today a key Swiss research institute in
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activities between IETR and the French space agency CNES (https://cnes.fr ). This interdisciplinary project will be carried out at IETR – UMR CNRS 6164 (http://www.ietr.fr ) and it will strongly involve two
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for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a