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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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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
on bacterial and archaeal communities at the bottom of the CCZ. A unique dataset with DNA/RNA sequences (including metabarcodes, metagenomes and metatranscriptomes from sediment, bottom seawater and polymetallic
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sequencing, and proteomics platforms A central location in Munich (Max-Weber-Platz) with excellent public transport access, EGYM wellpass, sports and cultural offers Self-realization through a varied and
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high thoughput whole genome library preparation and sequencing (WGS) and will have the opportunity to support various R&D projects for internal and external users, and will work closely with other team
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lab, you will perform functional molecular biology and cell culture experiments combined with comprehensive characterization using state-of-the-art sequencings, which you will analyze yourself. You will
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or are eliminated during development, the lab aims to understand the early steps of tumorigenesis in the context of normal brain growth. To dissect these processes, the lab integrates single-cell sequencing, in vivo
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training not required) Experience with immunological methods (flow cytometry, qPCR, functional assays, CRISPR / Cas9 gene editing) is beneficial Familiarity with omics and sequencing technologies (e.g. scRNA
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plants. In addition to in-depth knowledge of botanical systematics, the application of state-of-the-art methods such as high-throughput sequencing is explicitly desired as part of the current and future
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cellular therapies. We offer: Innovative, high-impact translational research projects within a collaborative and committed academic team The opportunity to further shape your project focus in alignment with
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maintain pipelines for the analysis of high-throughput sequencing data, including RNA-seq, ChIP-seq, ATAC-seq, and single-cell and spatial omics. Integrate machine learning and large language models (LLMs