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Field
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experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization for transportation
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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development Complete simulation verification, model validation, uncertainty quantification, and documentation Optimize system and component designs for performance and safety Author peer reviewed papers
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
, including the 17,000-core Longleaf cluster optimized for I/O intensive workloads with dedicated GPU and large-memory partitions. The Research Triangle area is a dynamic collaborative environment with UNC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, including the 17,000-core Longleaf cluster optimized for I/O intensive workloads with dedicated GPU and large-memory partitions. The Research Triangle area is a dynamic collaborative environment with UNC
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of species, including horses, cattle, pigs, rats, mice, sheep, and birds and to extend efforts at optimizing performance and health in humans and livestock. • Assist with writing grant proposals, manuscripts
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
focuses on optimizing rehabilitation, exercise, and lifestyle interventions to preserve function and delay disability in adults with rheumatic and musculoskeletal diseases, such as rheumatoid arthritis and
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or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation strategies. These projects aim to integrate epidemiology
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experiment, as well as in the commissioning, optimization, and development of analyses for the ALPHA experiment. The candidate is also expected to take a leadership role in JHU-based testing toward