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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium
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how the resulting multimodal data can support species identification, the characterization of morphological variation, and the spatial analysis of heavy metal accumulation. Alongside shaping
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: https://www.ntu.edu.sg/ase We are seeking a highly motivated Research Fellow to join a research group led by Asst Prof Zeng Yiwen. The successful candidate will work on a multidisciplinary biodiversity
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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine
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, spatial, and farmer-generated datasets to investigate patterns and drivers of perennial restoration establishment across British Columbia. In close collaboration with project partners, government agencies
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on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive
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, UK, to work on perceptual evaluations and data curation for spatial music. The post is funded by a leading industry partner. The focus will be to organise and perform listening tests to evaluate
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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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/industry research and play an important role in impacting patients’ lives. For more details, please view https://dr.ntu.edu.sg/entities/person/Lynn-Yap The selected candidate will perform a variety of
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-grained VLM capabilities such as spatial reasoning, temporal grounding, event tracking, and domain knowledge using a curated multimodal dataset. Key Responsibilities Manage the research project together