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work here About Aerospace . Our reputation for leading in the field of autonomy and AI, advanced air mobility, ATM/UTM, autonomous vehicle systems, applied artificial intelligence and control engineering
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, applied artificial intelligence and control engineering has been established through more than thirty years of research into this field. We work in partnership with industrial clients and research
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strong background in artificial intelligence, machine learning, and data analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health
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of simulating parameter changes for screening performance and efficiency prediction. 2. Artificial Intelligence (AI)-empowered Manufacturing Technologies for Screening Digital Twin: The PhD project #2 will
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artificial intelligence (AI)-powered technologies in analysing historical data to predict high-risk zones and times for such incidents, enabling early detection and rapid response mechanisms tailored
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teams across Tyndall and UCC, the successful candidate will lead and manage a team of multi-disciplinary researchers with expertise in the development machine learning, artificial Intelligence (cloud and
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of simulating parameter changes for screening performance and efficiency prediction. 2. Artificial Intelligence (AI)-empowered Manufacturing Technologies for Screening Digital Twin: The PhD project #2 will
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lack of experts to manage and analyse these data. As part of the Australian Government’s Digital Economy Strategy and Artificial Intelligence Action Plan, the CSIRO, has developed the Next Generation