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including engineering, economics, and environmental science. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in ASPEN Plus® and/or Julia
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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran
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collaborators as well as various experimental and computational groups at CNM, at Advanced Leadership Computing Facility (ALCF) and the Computational Science Division (CPS) division at Argonne. The postdoctoral
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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vigorous research programs. Position Requirements A PhD in physics, materials science or related field; Must have been received within the last 5 years or upcoming year Significant written and oral communication
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energy physics, physics, and computational science Programming expertise in C/C++, Python, Fortran, or another scientific programming language Comprehensive knowledge of Input/Output and data persistence
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. Knowledge of C/C++ language and parallel programming with MPI. Background in modeling of engineering systems. Familiarity with high performance computing (HPC) software platforms is a plus. Skills in using
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and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis. Knowledge of C/C++ language and parallel programming with
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. Experience in command of optimization, statistics, and general engineering fundamentals. Experience developing mathematical or computational models for simulation and optimization of energy/economic systems in
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. Strong knowledge of coherent imaging, light modulation, Fourier-domain signal processing, X-ray physics, etc. Proficiency in Python or other scientific programming languages. Programming skills in