11 big-data-and-machine-learning-phd Postdoctoral positions at Heidelberg University in Germany
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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity
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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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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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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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-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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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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: Heidelberg Job Category: Science and teaching Working hours: full-time (100 %) Published: 28.10.2025 Limitation:Temporary (24 months, extension is sought) Contract:TV-L Your Profile PhD in a relevant field (or
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology