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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position in Machine Learning for Single-Cell Genomics (f
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used as the groundwork by other teams at the Centre, including theory, characterization and application teams. Where to apply Website https://skk.erecruiter.pl//Offer.aspx?oid=4772058&cfg
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models will allow you to study mechanisms of tissue patterning, morphogenesis, and boundary formation in stem cell-derived models such as kidney organoids, intestinal organoids, and embryo-like structures
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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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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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Offer Description Synthesis and structural characterization of flavonoids, antimicrobial and cytotoxicity tests, data analysis. Where to apply Website https://www.uaic.ro/angajari_uaic/1-post-doctorand-in
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Human Stem Cell-based Neural Models is available at the Language & Genetics Department of the Max Planck Institute, Nijmegen, the Netherlands. The position is in the research group of Simon Fisher, co
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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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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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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