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Field
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technologies across a wide range of electrical machine topologies and applications. This includes research into permanent magnet and non-permanent magnet machine drives, high- performance control algorithms
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• A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree, related
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
the motivation of gender-fair insurance pricing. As appropriate, the Postdoctoral Fellow will also collaborate with other researchers to develop scalable computational algorithms and translate the proposed
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systems, using techniques from areas such as functional analysis, operator theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Designing and developing scalable algorithms
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Fellow to conduct cutting-edge research in high-resolution electromagnetic imaging and intelligent sensing. The successful candidate will contribute to the theoretical development, algorithm design, and
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by applying existing and novel computational biology, bioinformatic, and machine learning algorithms to sequencing datasets and correlating them with multi-dimensional clinical datasets that contain