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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
public thematically organised into four strands: Social Inequalities; Gender, Sexuality, Race & Health; Environment, Nature & Conservation; Media, Data Cultures & Algorithms. The College/Division The ANU
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Geography, Climate Science, Evolutionary Biology, Ecology and Marine Science and Oceanography. The Senior Research Fellow – Social Science Specialist in the Centre for Sustainable Development Reform (CSDR) is
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
public thematically organised into four strands: Social Inequalities; Gender, Sexuality, Race & Health; Environment, Nature & Conservation; Media, Data Cultures & Algorithms. The College/Division The ANU
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in machine learning and artificial intelligence, including research that used machine learning approaches to help construct a detailed evolutionary timeline of bacteria, demonstrating how advanced
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Interaction and Human-Centred Computing Computer Vision and Multimedia Natural Language Processing Robotics and Autonomous Systems Algorithms, Optimisation and Theoretical Computer Science Responsible
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Science, Evolutionary Biology, Ecology and Marine Science and Oceanography. The Associate Professor will contribute to high-quality research, teaching, and research student supervision in the field
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at The University of Western Australia is a leading multidisciplinary school delivering world-class teaching and research across areas including ecology and conservation, computational biology, evolutionary biology
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Science, Evolutionary Biology, Ecology and Marine Science and Oceanography. The Senior Lecturer will contribute to high-quality research, teaching, and research student supervision in the field
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scheduling, resource allocation, and workload placement algorithms for distributed AI training; Improve the communication efficiency, scalability, and reliability of decentralised training frameworks; Evaluate