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Field
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the field of pulmonary fibrosis using animal and primary cell culture models, single-cell, and spatial transcriptomics approaches. The successful candidate will be expected to build a publication record in
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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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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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coordinating stem cell niche patterning with size, using maize as a model. The project combines quantitative imaging and developmental genetics with single cell and spatial transcriptomics, offering hands
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will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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approach, including biochemistry, flow cytometry, single-cell transcriptomics, optical mapping, molecular cloning, and advanced phenotyping in transgenic mouse models. This is an excellent opportunity
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metabolism, to isolate mouse gut microbial strains from gut communities, to prepare gut microbial communities for experimentation, to prepare samples for genetic analyses (bulk and single cell transcriptomics
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and transcriptome resources) • Participate in daily care tasks of the Platynereis worm culture • Required skills • MSc in a relevant field (or in the final stages of completion). Bac + 4 • Basic