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molecular techniques to study the complex interactions within microbiomes and develop innovative solutions. With a multidisciplinary approach that includes microbiology, genetics, bioinformatics, and
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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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with other LIB researchers of both localities. We expect the candidate to hold a PhD in Evolutionary Biology, Molecular Biology, Bioinformatics, or a closely related field with strong emphasis
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related fields Native speaker or excellent command of German and English Experience in programming (in R) or motivation to learn and perform bioinformatic analyses of bacterial DNA (16S rRNA and shotgun
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science, biostatistics, bioinformatics, epidemiology, public health or a closely related field, has an excellent academic record with a focus on quantitative methods and the ambition to earn a doctoral
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and high-performance analytical technologies to explore the complex interactions
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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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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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presentation of collected data and participation in writing scientific publications. YOUR PROFILE: Completed university degree (Master of Science or equivalent) in biology, (bio)chemistry, bioinformatics or a