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samples which are complemented by DNA methylation, DNA and RNA sequencing as well as clinical data. Together with the Artificial Intelligence and Cancer Evolution Division at the German Cancer Research
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publications, diplomas, a two-page research proposal and contact information of two persons who can provide a reference letter. Please send your application electronically (one pdf-document
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infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
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, transcriptomic and proteomic data. This role provides ample opportunities for professional growth within an innovative research environment committed to scientific excellence and collaboration. Job-ID: V000014783
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings
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, prevention and sports offers Flexible working hours within the framework of flexitime Contact & Application For further information please contact Prof. Dr. Matias Simons via e-mail . Interested? Applications
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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data
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Contact & Application For further information please contact Prof. Dr. Ralf Gilsbach via e-mail. Interested? Applications will be accepted until 31.10.2025 online. Institut für Experimentelle Kardiologie