66 data-"https:"-"https:"-"https:"-"https:"-"https:"-"IMT-Atlantique" Postdoctoral positions in France
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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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Synthetic Data Simulation for Malaria Genomic Epidemiology Team: Infectious Disease Epidemiology and Analytics Department of: Global Health Member: Aimée Taylor Scientific Fields Diseases Organisms
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PhenoRob2 Core Project 6, which aims to fuse information from advanced sensing technologies with process-based and data-driven models across spatial and temporal scales. Your tasks: Further development
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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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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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) 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