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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 17 days ago
community through interdisciplinary, team-based projects. A strong background in stochastic processes and algorithms for applications in robotics, control, and/or computer vision is required (e.g., state
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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and Mathematical Sciences | NTU Singapore We are looking for a Research Fellow on Cryptography to to complete the research project “Cryptographic Algorithms for Side-Channel-resilient Private
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Integrated Circuits or Automation. Background in computational optics, inverse scattering algorithms, label-free quantitative tomography algorithms, optical simulations, image analysis or machine learning
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biology, genetics, or a closely related quantitative field. A degree in computer science is especially valuable due to the software engineering, algorithmic, and AI/ML components central to this role
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learning based optimization algorithms, human and AI coordination in best decision making for urban transportation related problems. The role will focus on developing generic frameworks and innovative
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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computational tools and algorithms, including emerging AI/ML based approaches, for genome annotation, comparative genomics, and multi-omics analyses, with particular attention to the challenges of complex