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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture
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to experimental campaigns and will use image-derived structures (including XCT images where available) to develop mechanistic, validated mathematical multiscale models. We are recruiting a Postdoctoral Research
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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, 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
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in in vitro reconstitution, live-cell imaging and electron microscopy Excellent written and oral communication skills in English - essential for data analysis and communication with stakeholders
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interested in candidates with a strong background in advanced imaging, quantitative image analysis, and/or tissue morphogenesis and mechanics. If you are excited by the prospect of tackling fundamental
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/ Postdoctoral Researcher to join an 18-month NTU–industry project on AM-enabled optimisation of drag-reduction devices for maritime vessels. The successful candidate will design and prototype test articles