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microscopy, X-ray and electron imaging, scattering or spectroscopy to create in-house minerals properties databases that you will use to construct computational reaction models from resource to recharge, from
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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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cell sorting (FACS) or similar platforms. Experience using optical and/or electron microscopy to image biomaterials. Notes: Appointment Type: This is a full time, exempt from overtime pay (monthly paid
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including advanced coding in R and/or Python, -An interest and track record in publishing in top academic journals; -Proficiency using GitHub and coding languages, and other modern data management, sharing
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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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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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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