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responsible for managing mail services under the guidance of the Student Recruitment Manager including but not limited to collection, processing, transmission and delivery of all business mails within Saigon
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into the School’s activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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into the School's activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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information about SSET: please visit our website: https://www.rmit.edu.vn/about-us/schools-and-centres/school-of-science-engineering-and-technology Disciplines of Interest We welcome EOIs from candidates with
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website: https://www.rmit.edu.vn/careers ABOUT THE SCHOOL OF SCIENCE, ENGINEERING AND TECHNOLOGY (SSET) For further information about SSET: please visit our website: https://www.rmit.edu.vn/about-us/schools
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about SSET: please visit our website: https://www.rmit.edu.vn/about-us/schools-and-centres/school-of-science-engineering-and-technology Position Summary The position of teaching assistant will be
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Learning (AIML), driving the growth of Industrial AI across key areas such as natural language processing, computer vision, and machine learning. In this role, you will undertake cutting-edge research
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
candidate will develop independent and collaborative research in the area of Machine Learning, Natural Language Processing, and Algorithm Design, and work in a diverse cross-disciplinary team with researchers
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areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing. At Adelaide University, we create the opportunities you need to achieve your
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), and with relational databases using SQL. Experience working with structured datasets, including data cleaning, validation, and transformation. Familiarity with natural language processing approaches and