Develop, standardize and execute data processing pipelines (ETL) for biomedical data - Taking on the role of a data steward, ensuring that all data activities are documented and follow the highest quality and cyber security standards
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Pharmaceutical Sciences at the University of Vienna play a leading role in three key research areas of the Faculty of Life Sciences: “Biomolecules for a Healthy Lifespan,” “Computational Life Sciences,” and “Innovation in Drug Research.” The tenure-track professorship …
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You will have the unique opportunity to focus on developing advanced computational tools and methods for analyzing multi-modal tissue imaging and spatial tissue omics data at single-cell resolution, ultimately contributing to a better understanding of cancer … MSc degree (obtained or in final stages) in …
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Vorbereitung und Durchführung von Agrarstrukturerhebungen - Konzeption und Weiterentwicklung von Anwendungen zur Erhebung und Verarbeitung von Daten - Erstellung von Konzepten sowie Recherche, Evaluierung und Erschließung von primär- und sekundärstatistischen Datenquellen
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Develop, standardize and execute data processing pipelines (ETL) for biomedical data - Taking on the role of a data steward, ensuring that all data activities are documented and follow the highest quality and cyber security standards
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Kennzahl: DFI-HUMGEN-2025-003439 … We are looking for an excellent researcher with great potential to develop an internationally recognized research agenda in the field of translational bioinformatics and precision medicine
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In this position, you will play a key role in data management and science communication within the MYCOS PhD program. Your tasks will include: - Data curation and management: Maintaining, structuring, and standardizing datasets for the MYCOS consortium
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Plan, manage and execute IT projects from initiation to completion, ensuring they are on time and within budget - Work together with IT, Data Science, Bioinformatics and Laboratory teams to fulfil the IT needs of in-house projects, ranging from storage to data processing infrastructure
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