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learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https://puwebp.princeton.edu/AcadHire/position/36664
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and application of network models, particularly in relation to spatial networks, optimization, and uncertainty quantification, is required. Strong programming skills in Python, along with proficiency in
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development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub
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. Julia/JuMP, Python/Pyomo, AMPL, GAMS); and comfort working in a multidisciplinary and collaborative research environment. All candidates must have strong, demonstrated research ability and excellent
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, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA. *Excellent writing and analytical skills *Evidence of ability to take the initiative in solving practical