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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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, and/or machine learning techniques. Proficiency in programming in R and/or Python. Strong communication, writing, and interpersonal skills. Demonstrated ability to conduct independent research, lead
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 26 days ago
, machine learning and statistical methods to elevate impacts research. There is also opportunity to work at the nexus of water and agriculture, as well as in risk management for suburban landscapes. Location
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning
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computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V
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and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality
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cell killing assays of cancer cells to evaluate the efficacy of combination immunotherapy and radiation treatments. Performs in-vivo studies using metastatic cancer mouse models to evaluate the efficacy
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characterizations. 4. Completes CADD modeling studies. 5. Mentors undergraduates for synthesis, computation, and other areas of need. 6. Performs other related duties as assigned. Required Education & Experience
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-making. Among the key duties of this position are the following: Develop and refine computational models (e.g., mechanistic, machine learning, or hybrid approaches) for ICU patients. Integrate and analyze