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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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, injections, irradiation coordination, monitoring, and tissue collection Maintain cell lines, reagents, and lab stocks Conduct data collection and data analysis Maintain accurate and organized laboratory
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analyzing data for NIH-sponsored projects, developing and troubleshooting experimental protocols, and contributing to translational studies at the interface of cancer biology and organ injury. The laboratory
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nanoparticles, characterize their magnetic properties, and investigate their assembly behavior, analyze data, and communicate your findings through journal publications and conference presentations. The ideal
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, deliverables, communication with internal teams, and engagement with external partners and sponsors. Conduct applied research tasks such as literature reviews, mixed-methods data collection, data analysis, and
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executes experiments of considerable scope and complexity in the assigned research lab; collects and analyzes data for research sponsored by appropriate agencies and Institutions; identifies and selects
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, and manages research projects related to the control of development and cancer; extracts, collects, analyzes and interprets research data; to write manuscripts, articles, abstracts and research reports
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electronics; conducts research in the areas of wideband gap power devices and power electronics, collects and analyzes characterization and reliability data; guides experimental work conducted by graduate
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - AI(X) Hub Department
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - AI for Health - AI(X