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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an
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for combat trauma, directed energy exposure, extreme environmental exposure, and/or toxicant exposure. You will participate in and learn to perform data collection and analysis pertaining to testing toxicants
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(including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data interpretation and
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gaze tracking (including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent data
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interviews with patients and analyse qualitative data. The post holder will be responsible for arranging and conducting the interviews. The research will be conducted in Birmingham and London, and the
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, and research. The 884-bed medical center currently employs 2,700 faculty, cares for ~48,000 inpatients per year and provides approximately 2.3 million clinic visits and 54,000 surgeries per year. Data
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 3 days ago
(QSAR) models. The selected participant will learn to harvest and interpret toxicology data, develop and apply QSAR models, and communicate research results to both internal and external stakeholders
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Experience gathering and/or analyzing data Ability to communicate effectively in both written and oral formats Ability to work in a positive and productive manner with a variety of diverse staff Ability
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer