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Field
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environments Leadership in Lab, including personnel and equipment Microbiome sequencing (16S/ITS), genomics, shotgun metagenomics, and transcriptomics Multivariate and statistical modeling of
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environments Leadership in Lab, including personnel and equipment Microbiome sequencing (16S/ITS), genomics, shotgun metagenomics, and transcriptomics Multivariate and statistical modeling of
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microbiome in biogeochemical processes. Metagenomics is able to evaluate the presence of different taxa or specific genes while transcriptomics is able to define levels of gene expression, but proteomics
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analysis tasks that support lab projects that mostly consist of single-cell transcriptomics analyses, as well as potentially other data layers (ATAC-seq, CROP-seq, spatial, live cell imaging, metabolic
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development and human diseases, such as neurological disorder, immunology, and cancer. Utilize biochemistry, molecular biology, CRISPR-based genomic screen, single-cell transcriptomics, and genetically modified
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opportunities. Prior experience with tissue culture, animal models, high-parameter flow cytometry, spatial transcriptomics or proteomics, and cell gene engineering techniques is desired, but not required. This
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single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a CV, a brief statement of
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Bioscience, we seek a skilled and motivated Postdoctoral Researcher to develop next-generation laboratory methods for single-cell genomics and transcriptomics of uncultured protists. The position is
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden-Württemberg | Germany | 2 days ago
spatial transcriptomics and spatial proteomics. Beyond providing access to established technologies, method development is an important part of our work. We continuously evaluate, adapt, and establish
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immune cell populations using spatial transcriptomics. Mechanisms by which bacteria modulate the tumor microenvironment will be studied using orthotopic mouse models, with a focus on myeloid cell