16 condition-monitoring-machine-learning Fellowship positions at University of Adelaide
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The University of Adelaide is seeking to appoint an academic research leader of international standing to join the Australian Institute for Machine Learning (AIML) as a Professorial Research Fellow
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at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with
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to learn and incorporate the principles of socially responsible research, and an ability to meet deadlines. High-level organisational skills and experience in managing projects with multiple priorities
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of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available About the position We are seeking a Research Fellow with
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within a ‘Group of Eight’ University! The State Government of South Australia, CSIRO and the University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing
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architecture, testing/debugging skills, and version control. Experience applying machine learning, artificial intelligence, or statistical modelling techniques to digital forensics, online surveillance, or large
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support in different initiatives related to the prevention, diagnosis and management of different conditions in primary care. Working with a dynamic team of primary care researchers, you will play
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create impact for Australian grain growers. The successful appointees will conduct field and lab studies to investigate the biology and pest status of earwigs, millipedes, and isopods in Australian
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innovative teaching. You can learn more about Adelaide University HERE , and more information will be provided throughout the recruitment process. Enjoy an outstanding career environment. We offer a uniquely
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-based health care. High level interpersonal, communication and organisational skills. Ability to contribute to a diverse and collaborative team environment. Commitment to ongoing learning. Level B: PhD in