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of interest. Prior findings suggest that a skill-weighted ensemble mean from multiple reanalysis datasets outperforms a single best reanalysis dataset. Machine learning approaches will be explored, as well, and
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African American Civil Rights research and interpretation. Research Pullman African American workforce demographics, both on-board the rail cars as well as in rail car manufacturing, repair, and management
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simulation & verification (e.g., Verilator). Comfortable in a Linux environment. Knowledge of quantum information science and experimental and analytical experience is preferred. Knowledge of machine learning
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, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental
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and contribute to research proposals. Publish developed algorithms as software packages. What is Required: Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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, develop methods to assess antibody developability and manufacturability. Integrate experimental data with outputs from machine learning algorithms. Write up timely actionable structural biology reports
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planning, focusing on big data analysis, computer vision, and machine learning, with a particular interest in the built environment and transportation systems. This role will collaborate with a diverse team
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 6 hours ago
statisticians) on developing regulatory science methods and tools to support regulatory evaluation of artificial intelligence (AI)-based computer aided detection and triage devices in pediatric and other under
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an opening for a Computational Biology Postdoctoral Fellow in Health Sciences. In this exciting role, you will work on computational analysis, data integration and machine learning among other methods directed