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data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities
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Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize models
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Project INF of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based
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-based characterization techniques, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at
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) and structural engineering performance in spent fuel Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive
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Experience with spatial platforms is a plus Experience with bioinformatics pipelines for omics data (e.g. Seurat, Scanpy) Strong analytical and organizational skills Ability to work independently and
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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French National Institute for Health Research (INSERM) | Lyon, Rhône-Alpes | France | about 2 months ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Collaborate with interdisciplinary research teams and industrial partners Support proposal writing where appropriate Your Profile Completed Master's degree in Electrical Engineering, Physics, Materials Science