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Field
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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/GIS, education, or a related field. A strong GPA is important, but not the only requirement. Most of the research will be focused on technology-enabled solutions to aviation problems, therefore, skills
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experience with large administrative or healthcare datasets Experience working with gridded environmental or climate datasets and spatial data analysis tools (e.g., R, Python, GIS) Strong technical writing
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modeling, for example, with FLAMMAP or FSim, Experience in analyzing large spatial and tabular datasets, Experience in GIS using ArcPro or R Terra, and; Experience coding in R and/or Python. Stipend
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to maintaining high data quality standards Problem‑solving skills and adaptability to dynamic project needs and field conditions Proficiency with data analysis tools (e.g., R, Python) are considered an asset
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(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
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following programming languages: Java, JavaScript, Python. Demonstrated proficiency with one or more of the following frameworks: React, Spring, Hibernate. Understanding of cloud-based infrastructure, system
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) Demonstrated knowledge and experience in the specialized area of Geographic Information System (GIS). (Required) Demonstrated ability and experience in the integration and analysis of very large data sets from
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 9 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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, Google tools, system integration programs (APIs, imports/exports between CMMS, ERP, GIS, HR systems,) basic scripting or automations (Python, Power Automate, etc) and data visualization tools (Power BI