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statistical analyses and modeling to support scientific research aims. Identify data patterns and trends to inform research questions. Produce analysis outputs, reports, and documentation. Manage and integrate
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leadership in the design, execution, and analysis of real-world evidence (RWE) studies. Oversee the development and validation of the common data model and the data integration platform for use in healthcare
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implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF
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FieldChemistry » OtherEducation LevelPhD or equivalent Skills/Qualifications Responsibilities: chemical synthesis; physicochemical characterization; cell-based assays; data analysis; preparation of reports
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related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9198 . Where to apply Website http://www.fapesp.br/oportunidades/9198 Requirements Additional
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https://pica.cineca.it/unisi/ Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent LanguagesITALIANLevelGood LanguagesENGLISHLevelExcellent Additional Information
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(12):1741-1748. Duties The postdoctoral researcher will apply and develop computational methods for the analysis of whole-genome sequencing and other NGS-based data from patients, and will design
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3 Apr 2026 Job Information Organisation/Company Leiden University Research Field Chemistry » Analytical chemistry Chemistry » Instrumental analysis Engineering » Biomedical engineering Engineering
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Plan: 1) Support in the development of work within the scope of the Mel I.D. project. 2) Analysis of volatile compounds in honey by HS-GC/MS. 3) Analysis and processing of the data obtained. 4
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position