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characteristics of TMEs [1]. In lung cancer, several deep learning studies using Haematoxylin and Eosin (H&E) images have demonstrated that the spatial organisation of stromal and immune cell populations within
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cystic fibrosis. The position offers an opportunity to engage in interdisciplinary research focused on steroid biology and physiology, cell differentiation, cellular metabolism, biochemistry, cell biology
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computational biology. The general responsibilities of this position are as follows: Independent analysis of single cell and bulk genomics data including from CRISPR screens, kidney organoid models, and primary
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at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our
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ABM sensible a la equidad para políticas de movilidad dinámicas/.To develop and calibrate an equity-sensitive ABM for dynamic mobility policies. Cuantificar los impactos distributivos de las
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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is awarded by the ED182 jury of the University of Strasbourg. A description of the thesis topic is attached. You can find all the information and the application form by following this link: https
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email listed above will not be accepted. Where to apply Website https://jobrxiv.org/job/cic-biomagune-bottom-up-cell-biology-lab-27778-phd-fell… Requirements Additional Information Work Location(s) Number
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and