38 python Postdoctoral research jobs at Oak Ridge National Laboratory in Postdoctoral
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in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow, PyTorch) Experience with physics-based modeling Strong analytical and problem-solving skills, with
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming. Demonstrated experience in applying and extending CFD codes
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI
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),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive manufacturing, process physics, thermodynamics, and/or metallurgy to interpret
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or program datasets. Proficiency in statistical programming and data analysis tools: R, Python, Stata, or SAS SQL/database management preferred. Ability to clean, harmonize, and analyze complex datasets from
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development skills using C/C++ and Python programming languages, with experience developing, validating, debugging, and evaluating research software. Demonstrated record of conducting independent research and
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the Linux operating system, bash scripting, Git, Python, and reproducible software environments. Demonstrated expertise in writing advanced software in Python and in the design and implementation of deep
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C