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Computer Science. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, netCDF) and spatial databases. Knowledge of GIS software including both Desktop and Server. Familiarity with middleware and API
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experience in managing patients with GI cancers and an active interest in the development and conduct of interventional clinical trials and other collaborative clinical research projects. This individual will
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a strong background in one or more of the following areas: nonlinear (Lyapunov-based) analysis tools, software skills with Matlab or Python, and strong writing skills. Special Instructions
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-on experience in communications, nonprofit outreach, and public engagement strategy. Grab and Go Day Hike Project Review trailheads and access points using GIS and online resources Write hike briefs for each
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with experience in managing patients with GI cancers and an active interest in the development and conduct of interventional clinical trials and other collaborative clinical research projects
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programming languages like C/C++, Python, Fortran, Scala. Experience with building interactive web-based applications for data visualization and data processing workflows Familiarity with high-performance
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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in such a way as to be accessible by lay and professional audiences Technology • Using R, SAS, Python, SPSS, Tableau, and/or other database/analytical software platforms at an intermediate level of
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities