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Field
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, and interprets cancer surveillance, population, geographic, environmental, and health services catchment area data using appropriate data management, statistical, GIS, and other programming software
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, project and program evaluation, and report writing. Data science and Geospatial Analysis skills, including coding (e.g., Python, R), inferential statistics (e.g., MATLAB, STATA), predictive modeling, GIS
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guidance to support staff and/or student employees. Must be proficient in the use of python, JavaScript, CSS, and HTML; PostgreSQL, MySQL, and SQL oracle; Linux Red Hat and Ubuntu ****The final salary
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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comparable field Very good knowledge of quantitative research methods in medicine or health sciences Demonstrable subject-specific programming skills (e.g., R, Python, etc.) Experience with database usage (e.g
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competitions including creating challenges Building integrated dashboards with any of the following tools: SQL Server, PowerBI, Tableau, Python/Machine Learning, AWS, Azure. Security clearance (current or
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sustainability or Basic software engineering knowledge and interest in GIS Programming skills like Java, Python, Docker and knowledge of cloud resources (e.g., GCP, AWS) Analytical thinking and enthusiasm
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strengthen the national security community. Experience working for or collaborating with DOE National Laboratories (or similar R&D organizations). Experience with geographical information systems (GIS
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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business correspondence and documentation abilities. - Ability to manage confidential and time-sensitive matters. - Experience with Python and SQL. - Familiarity with network topologies, wireless