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Field
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transcriptomics Present findings at conferences and publish in peer-reviewed journals Your qualifications and skills: You hold a Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology or
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
neuropathological or behavioral analyses Proficiency in image analysis using platforms such as QuPath, ImageJ/Fiji or comparable tools Experience with bioinformatics approaches Familiarity with advanced image
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international conferences Assist in the mentoring of team members taking on computational tasks Requirements PhD or equivalent in bioinformatics, computational biology, cancer biology or similar Strong background
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of bioinformatics Comprehensive experience in library preparation (e.g. RNA-Seq, 5mC/5hmC-Seq, DNA-Seq, ATAC-Seq, CUT&RUN/CUT&Tag, 16S) Experience in automated sample preparation, as well as project management skills
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related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international
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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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pharmaceutical chemistry, and bioinformatics. Clinical Sciences Research in the clinical sciences section aims at translating target molecule identification into new diagnostic and therapeutic venues to provide
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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
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models to investigate causal relations, e.g. by direct bacterium-host cell interactions or via microbial metabolites. We use well-established, cutting-edge wet-lab techniques combined with bioinformatic
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approaches and develop skills to apply bioinformatics on newly generated and available omics data sets. If you are interested in this project, please select Ruf as your group preference in the IPP application