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and spatial transcriptomics datasets, including MERFISH and spatial proteomics. Familiarity with computational pipelines for single-cell data integration and interpretation is highly valued. Expertise
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. These projects investigate how the innate immune system regulates neurodegeneration, with a particular focus on amyotrophic lateral sclerosis (ALS). Using human postmortem tissues, spatial transcriptomics, spatial
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translational studies, and innovative technologies including spatial transcriptomics, single cell RNA-sequencing, and induced-pluripotent stem cells, we are interested in determining how reactive oxygen species
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computational biologists employs state-of-the-art single-cell multiomics, spatial transcriptomics, and genetics approaches to advance therapeutic discovery and development. Areas of focus include: New target
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single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent
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the team! In this role, you will support biology research projects involving molecular biology, cell biology, genomics, transcriptomics, and computational biology. This position will contribute to both
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, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial transcriptomics, epigenomics, and proteomics, as well as a unique mouse model in which neural progenitors acquire
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transcriptomics and spatial transcriptomics Proficiency in at least one programming language, preferably R and/or Python Eagerness to explore and evaluate new analytical strategies Excellent communication skills in
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disuse conditions, with particular focus on the remodelling of muscle tissue and its resident cellular niche. The activity will involve the use of spatial transcriptomics approaches on biological samples
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statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence