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Field
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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post-outcome variable. Motivated by this result, we provide a novel method that identifies and estimates the treatment effect, using an assumption inspired by common practice: the conditional
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acquisition and data analysis methods for users i) Troubleshoot equipment failures, procure repair parts, implement repairs, supervise field service, and test equipment for proper function after repairs j
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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact. We provide mechanistic, individualized, preventive and
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for the manufacture of computer chips. The project is supported by the Australian Research Council Linkage Project “Innovative Double Patterning Strategies for Integrated Circuit Manufacture” and is within
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searches and reviews in support of the project Work with the project team to develop the project research design and methods Assist with preparation of interview schedules, data collection and analysis
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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral sciences, nutritional sciences, etc
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GNC. Ability to develop resilient advanced filtering techniques and advanced guidance strategies suitable for multivehicle systems in contested environments. Ability to integrate data-driven methods