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limited to, symmetric and public-key cryptography, post-quantum cryptography, quantum algorithms in cryptography, or a closely related area. Responsibilities for this position will be research, teaching
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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and simulation of coupled T-H-M-C processes in clay based engineered barrier systems. Experience with numerical algorithms (also open source) for 1D/3D simulations is expected. You have a strong
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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planning algorithms to real hardware to simulate multibody 0g space dynamics. Candidates with demonstrated experience with robotic algorithms and writing software for robotic hardware will be prioritized
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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3D software using machine learning tools such as neural networks. You will perform quantitative analyses on existing large amounts of tomographic imaging data and improve the evaluation algorithms in
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new algorithms to analyse compliance of CER according to relevant Australian standards (AS 4777.2020.2, CSIP-AUS, IEEE). Creating new algorithms to analyse curtailment of CER according to relevant
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candidate will focus on developing algorithms that enable the fitting of glycans and other flexible protein regions into low-resolution areas of cryo-EM maps. Working in close collaboration with