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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National
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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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to independently design and generate simulations using the Regional Oceanic Modeling System (ROMS) or other related codes (e.g., COAWST, CROCO, MITgcm, Oceananigans) in realistic and/or idealized configurations
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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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imaging with the James Webb Space Telescope, variability monitoring of substellar companions, stellar obliquities, and observations of circumplanetary disks. Applicants with experience in any
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(OIR) image analysis, OIR spectroscopy, sub/millimeter/radio astronomy, or SED fitting may be particularly well suited for the position(s). The department is especially interested in candidates who can
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contributions to the development of the Time-of-Flight system of the EPiC Detector for the Electron-Ion Collider, including leadership of multi-institutional efforts to develop prototype assemblies. Performing
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