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– Integrative Genomics Core Unit (NIG), we are seeking a highly motivated scientific staff member with expertise in the bioinformatic analysis of next-generation sequencing (NGS) data. Your tasks development
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. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM’s
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omics workflows is a strong asset Previous experience working with plant systems is essential Practical understanding of bioinformatics pipelines for omics data analysis (e.g., Seurat, Scanpy, Galaxy
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sequencing, genetic modification, or protein biochemistry. You will work with bioinformatic tools and workflows to analyze sequencing results. Data analysis will include the use of statistical methods
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investigators. The collaborative network spans microbiology, biochemistry, bioinformatics, glycobiology, and ecology, offering excellent opportunities for scientific exchange and career development. How do we
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phenotypic and genotypic analysis of newly generated overexpression and CRISPR-Cas9 knockout lines with infection assays, microscopy, proteomics, and bioinformatics, aiming to further elucidate the molecular
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infection. Investigations should characterize B cell populations and antibody repertoires in livestock and/or wildlife by combining experimental tools and bioinformatics. Analysis of antigen specificities
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chronobiology and circadian rhythm analysis is advantageous Experience in bioinformatic analysis of omics data is advantageous High motivation and ability to work in interdisciplinary collaboration and in a
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or PhD in data science or bioinformatics with strong experience in software development for front-end and back-end solutions and research data management Knowledge in programming languages (Python, HTML
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Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human