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layer in this process. The project is based on cell biology including live confocal microscopy, molecular biology and transcriptomics. Your profile Applicants require a doctoral degree in molecular, cell
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organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular
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including: two-photon microscopy, miniatured microscope, optogenetics, behavioral phenotyping and transcriptomics. Work duties Lead independent research projects within the lab’s research program
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(drug response, apoptosis, DNA damage, etc.). - Familiarity with NGS-based genomics or transcriptomics (variant calling, RNA-seq, single-cell or bulk) and integration of multi-omics data is highly
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on field experiments based on stable isotopes, genomics and potentially transcriptomics approaches. The project thus addresses basic scientific questions about the diversity and biology of CHEGD fungi
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-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
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technologies such as RNA-Seq, metagenomics, or epigenetics. Therefore, experience in processing and integrating multi-omics data (for example genomics, transcriptomics, proteomics, and metabolomics) is
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microelectrode arrays (HD-MEAs), fluorescence imaging and biosensors with spatial transcriptomics, metabolomics and other molecular profiling approaches. The project will also have a significant
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-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
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this project, we seek candidates with the following expertise: Documented experience in analyzing genomics, epigenomics, and/or transcriptomics datasets using R, Python, and shell. Experience in