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- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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dietary restriction. The project will integrate genetic, transcriptomic, proteomic, metabolomic, and gut microbiome data, with clinical and lifestyle information, to identify biological determinants
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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new method to study human pancreatic tissue slices using high-resolution calcium imaging in combination with spatial transcriptomics. The researcher will develop methods to improve the viability
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, integrate genomics, epitranscriptomics and transcriptomics data, and contribute to the development of novel systems biology and bioinformatics methods for RNA therapeutic target discovery. The project is led
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to collaborative, multidisciplinary research teams Preferred: Postdoctoral or equivalent advanced research experience in leukemia research Expertise in genomic, transcriptomic, and multi-omics data analysis
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biology, neuroscience, extracellular matrix (ECM) biology, spatial transcriptomics, advanced imaging, and immunology, we aim to identify novel therapeutic strategies for patients with glioblastoma
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We are seeking to appoint a Research Associate in computational genomics and long-read transcriptomics to join the Gustavsson Group at the UK Dementia Research Institute at the University of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
leadership, data analysis, and interpretation of results. A substantial component of the role involves the analysis and integration of high-dimensional genomic and transcriptomic datasets, including DNA and
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isolation, sequencing library preparation, quality control, transcriptomic analysis, or other omics-based approaches, are strongly encouraged to apply. Excellent written and verbal communication skills