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, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level – from molecules and cells to organs and the entire organism
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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A postdoc position focusing on protein complexes associated with centrosomes and cilia in human cells is available in the research group of Professor Jens S. Andersen (Andersen group
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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systems Solid background in neurodegeneration and neuroinflammation Experience with advanced microscopy and quantitative image analysis Demonstrated ability to independently conduct and troubleshoot complex
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle
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to finish. Mentor and coach less experienced team members to ensure hiring goals are being met. Assist in the development of sourcing plans for complex talent needs and senior positions. Manage