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problems Strong coding skills in at least one scientific computing language (e.g. Python, R, Matlab, Java, C, C++) Additional Qualifications Considered Knowledge of human biology especially skin with
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of submission, Mitacs will contact participants about the outcome of the application. Travel must take place within a year from the date of the outcome. The intern provides the completed Mitacs Code of Conduct
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Goryainov Email: Postal Mail: Recipient: School of Mathematical Sciences, Hebei Normal University Address: No. 20, South Second Ring Road East, Shijiazhuang City, Hebei Province, China Postal Code: 050024
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of manuscripts for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network
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The Nuclear Science and Engineering (NSE) Division is seeking a postdoctoral appointee to develop computational methods and computer codes to model the physics and engineering of advanced nuclear
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superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, and high
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; etc. • Data management: Ability to clean, code and store information to increase anonymity and confidentiality • Data analysis: this position will have a primary focus on qualitative data, such as
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 months ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0321-NPP-JUL25-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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. Familiarity with CIGRE benchmark systems for power system stability testing. Industrial experience in wind power integration, grid code compliance, or energy system modeling. Brief Description of Duties
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identifying and conducting interviews with pesticide applicators, coding responses to interviews and integrating interview responses using a mental models approach. It is expected that the successful candidate