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algorithms. Design and mission evaluation of hypersonic vehicle concepts. Experiments and development of diagnostics methods for hypersonic ground test in the TUSQ wind tunnel. Simulation of dynamic systems
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Analysis Develop effective graph learning models, efficient data-driven search algorithms and demo system. Conduct literature searches, screening, data extraction, and bias assessment. Evaluate
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, TIFS) and conferences (e.g., USENIX Security, CCS, S&P). Proficiency in system engineering, algorithm design, and threat modelling. For further information regarding responsibilities and requirements
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demonstrated aptitude to engage collaboratively with industry partners and other external stakeholders. Knowledge of optimisation solvers and proficiency in machine learning algorithms and their practical
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using electron cryo microscopes to study macromolecular complexes and proficiency in cryoEM reconstruction algorithms such as Relion, EMAN2, or cryoSPARC. You will also have: Completion or (or near
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journals and at conferences commensurate with opportunity Excellent ability in ML algorithm design, theoretical analysis of ML techniques, empiricial evaluation of ML methods, problem solving and maintaining
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publications in leading journals and at conferences commensurate with opportunity Excellent ability in ML algorithm design, theoretical analysis of ML techniques, empiricial evaluation of ML methods, problem
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. Liyi Zhou. Working closely with Assoc. Professor Jiangshan Yu and his team, the successful candidate will develop algorithms, protocols, and tools for decentralised and distributed systems
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quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work