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Field
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related field. Demonstrated hands-on experience in bacterial genetics, molecular cloning, plasmid design, and strain engineering. Working knowledge of bioinformatics principles and sequencing analysis
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. · Other related duties as assigned. EDUCATION & EXPERIENCE Minimum Qualifications: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Electrical & Computer Engineering, Applied Mathematics
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and diabetes-related complications using large data sets from electronic medical records, health insurance claim or national surveys, and; Cost-effectiveness analysis of interventions for preventing and
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speakers and contexts, and computational efficiency. - The fellow will also contribute to the critical analysis of the obtained results, the preparation of technical and scientific reports, and the
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the fellowship will be hosted by the Department of Mathematical Sciences (https://www.ntnu.edu/imf ). The project is a close collaboration with evolutionary ecologists from the Department of Biology
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 months ago
algorithm performance. You will analyze assignment data from December 2025 to the present to identify workload distribution patterns and refine the algorithm using mathematical modeling, programming, and
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systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis software PyOPIA (https://github.com/SINTEF/pyopia
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 months ago
gap analysis and develop a forward-looking research and funding strategy Assess unmet needs and gaps across the current portfolio (e.g., underrepresented therapeutic areas, populations, data sources
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of reactor transients and quantify how surrogate uncertainties propagate through system safety analysis of nuclear installations, using tools such as open simulations platforms. This research will be part of a
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mathematical and quantitative skills • Familiarity or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) • Ability to communicate complex information clearly • Excellent ability