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part of our team, you will leverage state-of-the-art single-cell, spatial and organoid technologies in a collaborative and interdisciplinary environment. Research focus We welcome candidates with a
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of rich culture, picturesque surroundings, excellent healthcare, and thriving professional opportunities make it an ideal city to live and work in. The Research Group of Molecular and Spatial Biology of
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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, various cutting-edge experimental and computational approaches in the areas of functional genomics, cell biology, biochemistry, single-cell/spatial multi-omics, data mining, drug screening, and disease
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at larger spatial units. You will work with established field experiments and full-scale facilities already established by farmers in various locations throughout Denmark and the boreal region of Europe. You
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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(TMJ) degeneration and pain, and salivary gland degeneration. The lab uses mouse and human iPSC/organoid models equipped with genomic, single cell RNA sequencing, spatial transcriptomics, tissue clearing
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Kim (DANDRITE) This project explores how mutations in chromatin-modifying genes disrupt early neurodevelopment by systematically profiling in vitro neurons using multimodal single-cell and spatial