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Multiple PhD Positions in Fundamental Physics and Quantum Dynamics (m/f/d) The International Max Planck Research Schools for Quantum Dynamics (IMPRS-QD) and for Precision Tests of Fundamental
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, multiple transcriptomics and genomics approaches, single-cell sequencing, and histocytometry) Set up bioinformatics platforms and develop computational pipelines for the analysis of bulk and single-cell RNA
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and triple recombinase systems, orthotopic organoid transplantations, CRISPR/Cas9, quantitative proteomics / phosphoproteomics, multiple transcriptomics and genomics approaches, single-cell sequencing
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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sequencing, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks
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project. We seek to recruit multiple PhD students in 2026 to a range of inter‐institutional research projects in the broadly defined field of quantum materials. Research work will be combined with graduate
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permanent position based on performance. 1. Bioinformatician Responsibilities Analysis of data sets arising from various ‘omic platforms, but heavily biased toward analysis of nucleotide sequence from
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on identifying mechanisms of cellular communication between immune and tumor cells in pediatric cancer. In order to do this, we use advanced single cell based technologies, including single cell RNA 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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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