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Field
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Demonstrated experience developing data-analysis pipelines, software tools, workflows or computational resources that are documented and usable by others Substantial experience in the analysis of high
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data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems
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to lead methodological innovation, software architecture engineering, and scientific execution across its active grant portfolio. Working under the direct mentorship of Dr. Hongfang Liu and lab faculty
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approaches (e.g., using R, NetLogo, or similar) Working knowledge of ecological (especially landscape ecology) research methodology and biostatistics Computer proficiency, including use of statistical software
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Join an exciting research program as a Postdoctoral Research Fellow, investigating how digital e-auctions can improve agricultural market performance in Lao PDR and Cambodia. You will contribute
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at major conferences. Demonstrated high-level mathematical skills. Demonstrated high-level skills in computer programming and software development, including a track record of developing, maintaining, and
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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established software tools, with opportunities to explore and evaluate emerging analytical approaches. Gain experience measuring physiological responses to root treatments and characterizing plant traits
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, what architectures do they need, how can computing be done on them - Developing software for efficient comparisons and resource estimation - Exploratory research in novel computing methods, code
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systems Working knowledge of ecological (especially landscape ecology) research methodology and advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses