Eine vielseitige und eigenverantwortliche Tätigkeit an den Schnittstellen zwischen Bioinformatik, Grundlagenwissenschaften, Onkologie und Pathologie in einem engagierten und kollegialen Team - Verantwortung für die zuverlässige Analyse, Qualitätsprüfung und Berichterstellung der Sequenzdaten aus Patientenmaterial …
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Research in bioinformatics and development of a neural network-driven, user-friendly platform that predicts and iteratively optimises antiviral sRNAs from sequence and minimal experimental input - Participation in the Collaborative Research Centre VirusREvolution and close collaboration with the tandem project …
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Master’s degree in either Biology, Bioinformatics, or comparable degrees in Natural Sciences … programming languages R and optionally perl or python - Knowledge in cancer and aging research - Willingness to contribute to different projects within our team
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Konfiguration von Client-PCs (Microsoft Windows) im Enterprise-Umfeld - Entwicklung und Umsetzung von Datensicherungskonzepten - Durchführung von Datenwiederherstellungen - Entwicklung von PowerShell-Skripten zur automatisierten Systemadministration
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Our group studies the fundamental principles of embryonic neuronal development by combining genomics, gene editing, and bioinformatics. We offer an international, dynamic, and supportive research environment that fosters creativity and career growth
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The Leibniz ScienceCampus AMR-PLAS investigates how microorganisms evolve in response to antibiotics, with the goal of improving our understanding of antimicrobial resistance (AMR). The rapid global spread of AMR is leading to an increase in difficult-to-treat infections and poses a major challenge for controlling diseases …
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Im Leibniz ScienceCampus AMR-PLAS wird untersucht, wie sich Mikroorganismen unter Antibiotikabehandlung anpassen, um die Plastizität von Bakterien besser zu verstehen und ein tieferes Verständnis der Entstehung antimikrobieller Resistenzen (AMR) zu erhalten
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For a research project investigating cancer therapy and tumor cell biology of renal cell carcinoma. The project will focus on the bioinformatic analysis of transcriptomics data, particularly spatial transcriptomics combined with single cell datasets, as well as spatial multiplex immunofluorescence data
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Anzeigeninhalt: 22.07.2026, Robert-Bosch-Krankenhaus GmbH … The project will focus on the bioinformatic analysis of transcriptomics data, particularly spatial transcriptomics combined with single cell datasets, as well as spatial multiplex immunofluorescence data
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Bioinformatic analysis of multi-omics data with focus on single-cell and spatial transcriptomics RNA sequencing data to elucidate the tumor microenvironment and its influence on cancer progression and metastasis in renal cell carcinoma
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