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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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networked energy hubs for, potentially, as many as over 2,500 railway stations and depots across the UK. You will be improving efficiency and supporting transport electrification with railway microgrids and
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The emergence of edge AI systems—AI deployed on resource-constrained, often battery-powered, devices at the edge of the network—presents critical security challenges. These systems are increasingly
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computer science, engineering, mathematics or physical sciences area Recent high quality research experience in machine learning/AI, or both, as evidenced by a strong track record of publications in leading
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networked energy hubs for, potentially, as many as over 2,500 railway stations and depots across the UK. You will be improving efficiency and supporting transport electrification with railway microgrids and
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the boundaries of 6G technology. Your primary responsibility will be to spearhead research initiatives aimed at developing the domain of Edge Computing for 6G Networks. Holding a PhD (or have submitted your thesis
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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Australian National University | Canberra, Australian Capital Territory | Australia | about 8 hours ago
university Advance transdisciplinary scholarship through research, collaboration and high-impact practice Engage with regional communities in the development of community-led flood intelligence networks
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI