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Australia’s future change-makers and create a better tomorrow. Work that matters Contribute to cutting-edge research in AI-enabled satellite autonomy, developing reinforcement learning solutions for real-time
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fields. You will be an integral member of an inter-disciplinary Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical
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equivalent qualification with one to two years of advanced research experience in generative AI, visual computing and deep learning, and must have no more than five years of post-qualification experience
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background in earthquake monitoring. The successful candidate will lead and contribute to developing a machine-learning powered earthquake monitoring and early warning system. The role involves both
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, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider
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standards and data protection regulations. This includes managing sensitive data correctly and guaranteeing that machine learning applications are developed with ethical considerations in mind. Participate in
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff
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the Land-based learning experience focused on intercultural learning and ethical conservation. They will have opportunities to co-mentor graduate or undergraduate trainees aligning with their expertise, and
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, including electronic clinical outcome assessments (eCOA), machine learning models, and wearable devices. Our research focuses on ensuring these technologies are fit-for-purpose and meet regulatory standards