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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
RNA modifications in cardiovascular health and disease. Key responsibilities: Analyze high-throughput sequencing data, including RNA-seq, epitranscriptomic (e.g., m6A-seq), and single-cell sequencing
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
package development) and command line-based analysis tools (e.g. Python) • Knowledge with public sequence databases, error correction algorithms • Scientific experience in immunology, molecular and cell
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analysis of microbial communities using 16S rRNA amplicon sequencing to identify key organisms and environmental factors. Investigation and comparison of exposed field samples and samples from laboratory
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cells to generate advanced model systems for studying beta-cell maturation and failure. You will apply state-of-the-art molecular biology and tissue culture methods, along with next-generation sequencing
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tools to sequence and analyse the microbiota in diverse cancer-related contexts. We cover the whole range of microbiome analyses, from bacteria to fungi, both with high-resolution metagenome sequencing
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data workflow design, an advantage Handling biological samples and sequencing data would be desirable Willingness to travel internationally and conduct fieldwork Good English skills are required, good
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viruses and the immune response of infected hosts), RNA technologies (such as single-cell RNA sequencing, CRISPR-Cas and other RNA-programmable protein complexes, visualization of RNA localization in
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(optics, opto-mechanics, beam alignments), the current project is dedicated to establish super resolution microscopy technologies for lipids. The labs are embedded within the Frankfurt Cancer Institute (FCI
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molecular biology expertise in mammalian cell culture, and genome editing techniques strong analytical and problem-solving skills preferably skills in next generation sequencing-based methods and
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assessment of materials using microbial communities Processing and analysis of high-throughput sequence data (DNA, RNA, community data, whole genome data, data mining) Data management for the division