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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
and teaching. The Stellos Lab at the Department of Cardiovascular Research is seeking for a permament full-time position a highly motivated and talented Senior Scientist / Group Leader on Bioinformatics
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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motivated and creative bioinformatics scientist from October 01, 2025 until October 31, 2026 (with option to extend) in full-time (38,5h/per week) with a strong interest in cancer genome analysis to join our
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cutting-edge spatial transcriptomics and bioinformatic/ data integration Advanced proteomics, genomics, innovative genetic (e.g. CRISPR/Cas) and screening technologies (both in vivo and vitro) Planning
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and Institute researchers Requirements Degree (MSc or PhD) in bioinformatics, computational biology, or related discipline Experience in genome assembly, transcriptomics, metagenomics, population
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looking for a Software Engineer / Bioinformatician Reference number: 2025-0255 The BIH Core Unit Bioinformatics provides services for efficient, reproducible, and reliable omics data analysis as
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at the earliest possible date. We are looking for a candidate with a research focus in the field of medical informatics, such as medical bioinformatics or image processing. The candidate must have an excellent
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in the fields of microbiology, chemical biology, infection biology, biogeosciences, aging research, optics/photonics, materials science and bioinformatics/systems biology. Jena has an attractive
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programs, seminars and conferences Your Profile Master's degree in computer science, mathematics, physics, bioinformatics, computational biology, or similar background with a focus on bioinformatics or data
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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