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, visualisation, and advanced analytics. Our research combines bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a "bench-to-bedside" approach. By
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher in Computer Science Employer
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and
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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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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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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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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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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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) 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