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intervention and data from diverse sources Proficiency in statistical and computational languages (SQL, SAAS, R, Python, etc.), skills Knowledge of both traditional statistical analysis (e.g., logistic
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non-target screening. Evaluation of obtained data and their statistical analysis. Elaboration of reports and communication with project/contract founders. Participation in preparation of proposals
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image processing and/or data analysis. Proficiency in Python programming. Specific Requirements Full time and on-site within the LISTIC laboratory. Internal Application form(s) needed Offre emploi POST
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, clinical and histological data in a translational framework. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Somatic variant detection and annotation. - Statistical and clinical
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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%) Code in Matlab or other program for stimulus generation, presentation, and analysis, as well as data analysis. (25%) Prepare data for publication and presentation via peer-reviewed journal articles and
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on external professional activities (https://groups.oist.jp/acd/information-disclosure/ ). * Further details about the University can be viewed on our website (www.oist.jp). Application Materials Required
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Monday 27 April 2026 11:59 PM Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409190/postdoctoral-resear… Requirements Additional Information Work Location(s) Number of offers
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 24 minutes ago
. This research may include analysis of regional and global stress fields for fracture formation. Mapping using Geographic Information Systems (GIS) tools can be used to constrain the mechanisms and stresses
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the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations