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, hematopoiesis, and immunobiology At least basic experience in bioinformatic analysis (bulk RNAseq, scRNAseq, proteome) Excellent teamwork and communication skills Solid experience with flow cytometry and
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) | Institute of Molecular Oncology and Functional Genomics Our research is focused on gene discovery, functional gene annotation and signaling in cancer. We study biological processes, such as malignant
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics analysis of NGS data (ChIP-seq, CUT&Tag, RNA-seq, ATAC-seq) Demonstrated ability in writing
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projects Integrate into the research team and provide support for junior members and students Your profile Solid experience in cell biology and experimental laboratory work Expertise in bioinformatic