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research in numerical relativity, computational general relativity, or a closely related area of computational physics. Experience with PDE solvers (elliptic and/or hyperbolic), numerical methods, and
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demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban–agricultural landscapes, (2) estimate
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research components. Position Overview Supports interdisciplinary research on energy–water resilience by developing and applying spatial and computational models of coupled human–environment systems under
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techniques of molecular biology using bacteria and/or yeasts (e.g. building and cloning recombinant DNA) Basic computational experience (e.g. R, regex, UNIX) Willing and capable of doing oral and written