12 big-data-and-machine-learning-phd Postdoctoral positions at Heidelberg University in Germany
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) Contract:TV-L Your tasks Implement advanced machine learning and data integration approaches Analyze and interpret single-cell and multiomics high-thoughput sequencing data Collaborate with leading wet lab
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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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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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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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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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infrastructure. The position entails active involvement in both experimental procedures and computational data analysis, alongside the improvement of advanced methodologies, including single-cell proteomics
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projects and deadlines Scientific track record Fluency in English; German proficiency or the willingness to learn is advantageous Familiarity with data-analysis / scripting tools (e.g. SCiLS Lab, METASPACE
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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 30.09.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data
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26 Aug 2025 Job Information Organisation/Company Heidelberg University Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Country Germany Application Deadline 21 Sep