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. Experience in healthcare, information security, information technology, data governance, or artificial intelligence. CIPP, CISSP, CIMP, or other privacy/security certifications are desired. Type Benefited
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, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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accommodations to applicants and employees. Request an Accommodation Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment
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for referees We value authentic, self-made applications over those generated by artificial intelligence. For further inquiries, please contact Project Coordinator Alyce Whipp at [email protected] . If you
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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spectral based sensing, including Ultrasound and Hyperspectral Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform
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content analysis using artificial intelligence and deep learning techniques, including face detection, face recognition, and dynamic identity enrollment and updating. Where to apply Website https
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university units. The Operations Manager is responsible for translating university-wide policy, including emerging guidance on the responsible use of artificial intelligence, into practical, school-specific
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Position Description Faculty Positions in Artificial Intelligence Position ID: BogaziciU-DSAI-BUDSAIPOS [#00001] Position Title: Assistant/Associate Professor Position Type: Tenured/Tenure-track