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, Tableau, R, Python, MATLAB, SAS, or Stata) Familiarity with cloud computing and remote desktop solutions for data-intensive applications. Knowledge of scripting or automation tools to streamline system
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for new physics, in collaboration with other QuSeC-TAQS researches. In the Q-SEnSE institute, an NSF Quantum Leap Challenge Institute, prominent quantum researchers in experiment and theory, science and
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply. A Ph.D. in earth sciences or a related field is required. Successful candidates