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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
high-impact practice Engage with regional communities in the development of community-led flood intelligence networks Position overview This fixed-term position will be based at the School of Art and
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-world deployment in ambient intelligence and clinical informatics. Publish in top-tier conferences and journals (e.g., NeurIPS, ICML, MLSys, IEEE TPAMI, JBHI). Job Requirements: Preferably PhD in Computer
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) will consist of teaching and supervision in the institutes study programmes. The research fellow must take part in the Faculty’s approved PhD program and is expected to complete the project within
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work will be at the Center for Digital Narrative. About the Project: The project is part of the research project AI STORIES: Narrative Archetypes for Artificial Intelligence and should result in a PhD in
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/Artificial Intelligence Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning/Artificial Intelligence for Planetary Ground Penetrating Radar available
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Project: The project is part of the research project AI STORIES: Narrative Archetypes for Artificial Intelligence and should result in a PhD in either Digital Culture, Comparative Literature or Nordic
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and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized
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; international economic law; and international dispute resolution. We encourage interdisciplinary approaches, such as (1) human rights and technology/ artificial intelligence/ global health/ international
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent