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research fellows in robotics and automation, AI, airport operations, operations research and optimisation, algorithm design and high-performance computing, with application to airport innovation
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design, prototyping, algorithm development and testing, manuscript preparation, mentoring, and lab management. The selected candidate may engage in other activities such as grant proposal development
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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
knowledge and experience in computing, algorithm development, computer simulation, and/or artificial intelligence and machine learning; has excellent communication skills and a demonstrated ability to
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involve theoretical analysis, algorithm development, simulation, and hardware-in-the-loop experimentation. The Research Fellow will work closely with the Principal Investigator and collaborators/students
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Requirements Demonstrated expertise in software and algorithm development, computational methods, data analysis, modeling, machine learning, high-performance and parallel computing, or scientific
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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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push the development of the AIoT system, which is a key thrust in a Soundscape project. This is a big project where there is a strong emphasis in deployment, testing and scaling up in building. There
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condensed matter physics, chemistry, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine
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Fellow to push the development of the AIoT system, which is a key thrust in a Soundscape project. This is a big project where there is a strong emphasis in deployment, testing and scaling up in building
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analysis, deep learning methodology development, and clinical translation. The candidate will work closely with multidisciplinary collaborators, including clinicians, imaging scientists, and engineers