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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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, the Division of Signaling and Functional Genomics at the German Cancer Research Center is seeking as soon as possible a Postdoc – Bioinformatics / Computational Biology Reference number: 2026-0007 The Division
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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experience in bioinformatic analysis (bulk RNA-seq, scRNA-seq, proteomics) Excellent teamwork and communication skills Solid experience with flow cytometry and fluorescence-activated cell sorting (FACS) FELASA
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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outputs, including: A return-of-data blueprint Prototype participant reports An evaluated framework for future implementation Your Profile Master's degree and PhD in computational biology, bioinformatics
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput