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Redshift Survey (GRS) team. The appointment will focus on simulations and analysis that underpin the survey: end-to-end grism simulations and realistic mock catalogs; modeling and optimization
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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the project goals. The successful candidate will be working closely with the project PI’s to generate and test hypotheses, develop and run model simulations, and report findings through presentations
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/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1 year, may be extended for a second and/or third