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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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: - PhD in Physics/Photonics/Nanoscience or related field. - Experience in nanophotonics/plasmonics, optical spectroscopy, and data analysis. - Familiar with micro/nanofabrication (DLW preferred) and
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strategies for sampling and analysis of diagnostic and therapeutic proteins in biological matrices, for example from a single drop of blood. Our goal is to bring advanced protein analysis closer to clinical
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collection and multivariate analysis, regulatory compliance, and manuscript and abstract preparation. Fellows are also expected to engage in departmental and institutional seminars, continuing education, and
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analytical and research skills, as well as proficiency in English, both written and spoken. Preferential factors include: Knowledge of data analysis tools (e.g., Excel, SPSS, R, Python or similar); Familiarity
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health and wellbeing of care-experienced young people. The Fellow will take a key role in the final stages of secondary analysis of administrative, child-level datasets about care-experienced young people
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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development teams and facilitate the integration, analysis, and interpretation of datasets. Under the joint supervision of Dr. Michael Kobor and Dr. Emilia Lim, this role is part of a broader vision to
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
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, reliability, and fairness of smart contracts and decentralized applications (DApps). Design and develop analysis techniques and tools to detect vulnerabilities in blockchain systems. Formulate and evaluate