1,876 linked-data-"https:"-"https:"-"https:"-"Stanford-University" Fellowship positions
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu
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series of peer-reviewed journal articles published in high quality journals. Experience with FileMaker and Fulcrum data collection software and Adobe Lightroom for processing of photographic imagery
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outlined below. Collect research data through various research methods including systematic review and co-design focus groups Analyse and interpret data Contribute to writing bids for research funding Apply
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Raman spectroscopy. Perform complex data analysis and interpret experimental results. Prepare manuscripts and reports. Publish research findings in high-impact peer reviewed technical journals and
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) to provide benchmark data as well as the quantum technology gravity gradient sensor. This involves close liaison with colleagues across campus, especially as part of QuSIT, partner institutions, project
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data-driven environmental management. As a Principal Research Leader (Research Fellow), you will provide day-to-day leadership of the RCSP team, drive high-quality research, and build your national
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 11 days ago
and optimize drug-induced liver injury (DILI) analysis methods to address poor data quality issues. Training activities will include collating DILI subjects from 2024 approved NDAs/BLAs, analyzing
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analysis, data simulation and imputation. B) Participate in development and testing statistical methods for admixed human datasets. C) Omics (genome, transcriptome, microbiome, epigenome) data integration
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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and