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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences
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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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, 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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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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/or climate dynamics is a requirement. Experience in statistical analysis of ocean/climate data (observations or model output) is a requirement. Experience in scientific programming (e.g., Matlab
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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 1 hour 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