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two publications in SCI top-tier journals in relevant fields. Possess research experience in porous metal high-damping materials and disordered elastic metal interpenetrating phase composites, with over
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-programmes/data-science. Key Responsibilities: Communication with researchers to understand biological problems Facilitate the translation of biological problems to actionable computational analysis plans
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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institutional and regulatory guidelines Manage and preprocess biosignal data for analysis and AI model training Collaborate with partners on prototype testing and development Assist with mobile app testing and
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storage and documentation of all datasets. Conduct advanced statistical analyses (e.g., correlation, regression, path analysis) and qualitative analyses (e.g., thematic coding, content analysis) to uncover
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compliance with IACUC protocols. Prepare and submit IACUC applications and amendments as required. Support data analysis, report writing, and preparation of manuscripts for publication. Collaborate with
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decarbonisation, data analysis, methodology development and applications Coordinate the preparation of project reports and deliverables Publish findings in top peer-reviewed journals and conference proceedings
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germ-free and conventional mice Perform high-dimensional data analysis (single-cell/spatial transcriptomics, genomics, metabolomics, immunoprofiling) and integrate findings with clinical datasets
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of visual reasoning methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning, object detection, video analysis. Development