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at an unprecedented scale. Building existing infrastructures from, for example ODISSEI, the project centers around the analysis of population-scale datasets with advanced computational tools. By bringing together data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of study. Required Qualifications, Competencies, and Experience N/A Preferred Qualifications, Competencies, and Experience Experience in statistical modeling and biomedical data analysis is a plus. Evidence of
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motivated postdoctoral scientist to carry out single-particle spectroscopic studies and to develop data processing and analysis pipelines. The successful candidate will contribute to the setup and
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26 Mar 2026 Job Information Organisation/Company CNRS Department Institut des MAtériaux poreux de Paris Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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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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17 Apr 2026 Job Information Organisation/Company National Institute of Biology Department Biotechnology and Systems Biology Research Field Biological sciences Computer science Engineering » Chemical
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS