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and Type 2 diabetes Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs
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activities will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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not limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine
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to multi-stress environments through a combination of large-scale phenotyping screens followed by transcriptomics, phenomics and metabolomics studies with constructed holobionts. The Research
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transcriptomics, and bulk cell omics. We specialize in single cell omics and spatial transcriptomics via the 10x Genomics, Parse Biosciences, Mission Bio, and NanoString platforms. Our R&D team offers
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heart malformation. High-throughput spatial temporal data have been recently generated with spatial transcriptomics technologies. Capitalising on these rich datasets, we aim to build a custom analysis
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python and R? Are you able to analyse spatial transcriptomics data and aid in its interpretation? A short-term post has become available in the Glioma Genomics group, suitable for a candidate with
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) and cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity. This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the
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the laboratory or program. Leads and trains on others on lab activities. This role will support laboratory research projects in Neuro-immunology by performing immunologic, transcriptomics, and
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imaging, and spatial transcriptomics; and collect associated experimental, imaging, and molecular data. They will register, integrate, and analyze multimodal datasets to investigate biological and