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Field
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workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory scientists to integrate computational analyses with experimental research. · Prepare
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection
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and visualization will be especially competitive. The ideal candidate will have strong communication and organizational skills, scientific independence, and an interest in developing rigorous
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden-Württemberg | Germany | about 1 month ago
required for the completion of the project. Hi-C and Micro-C analysis Adapting multi-way contact genomic tools for Drosophila Building visualization framework for Pore-C data Image analysis Programming
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other high-dimensional biological datasets. · Develop reproducible computational workflows and data visualization strategies to support biological discovery. · Collaborate closely with laboratory
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/Mathematics/Physics. Expertise in either scientific programming (C/C++/Python/Matlab/R) or experimental immunology (Flow cytometry, next generation sequencing) with experience in scientific data visualization
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infrastructure across gynecologic cancer research initiatives. The fellow will lead the development of multi-omics data integration, interactive visualization tools, and AI-assisted clinical decision
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into real-time visualization environments Optimize scene graphs, memory management, asset streaming, and runtime performance Contribute to research proposals and peer-reviewed publications Generative
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visualization software (Python, Matlab, etc.) Demonstration of scientific productivity, as evidenced by journal articles and other published work Demonstration of scientific communication, primarily through
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AI/ML. ● Collaboratively design and implement tools for Warn-on-Forecast (WoFS) and ensemble model integration with PHI, data analysis, visualization, verification, explainability, and other