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Field
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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Research Fellow in Computational Biology. Our group leverages cutting-edge technologies—including organoids, CRISPR/Cas9, single-cell and spatial omics—to study coronavirus–host interactions that influence
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1. HCI Research & Design • Design user-centered interaction systems • Develop interfaces for multimodal prompting (voice and text) • Enable intuitive control of spatial layouts, narrative
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calibrating and spatially co-registering these complementary imaging and sensor modalities, enabling spectral properties, elemental distributions, and quantitative morphological characteristics to be studied
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tissue models and spatial transcriptomics in the laboratory of Professors Ian Sayers and Ian Hall (Biodiscovery Institute, University of Nottingham, UK). In this highly collaborative project involving the
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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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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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vascularized patient-derived organoid platform enabling intravascular dosing, real-time imaging, and downstream tissue retrieval for flow cytometry and single-cell/spatial profiling. The Lab works at
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for biomedical or imaging applications Familiarity with multimodal data integration (e.g., imaging + spatial proteomics, genomics, transcriptomics) Knowledge of self-supervised learning, contrastive learning
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) Center of Excellence Research Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal