31 parallel-programming "SciLifeLab " Postdoctoral positions at Oak Ridge National Laboratory
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experience working in HPC environment. Programming experience in Fortran, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial
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Monte Carlo radiation transport software and applications Experience with numerical computing using programming languages such as C++, Python, etc Author or co-author of open literature publications
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. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience with software development. Experience with use of GPUs
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associated publications. Experience using SCALE, VERA, MCNP, Serpent, OpenMC, and/or MOOSE and familiarity with reactor systems and concepts. Programming/scripting experience including the use of one
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software in Python and in the design and implementation of deep learning algorithms. Expertise in object-oriented programming, scripting languages, and modern software engineering practices for research
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/or digital quantum simulation theory and practice. Familiarity with quantum and classical programming languages and scientific computing . Preferred Qualifications: We welcome candidates with
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computer modelling systems such as finite element analysis (FEA),. Familiarity with data analytics, machine learning, digital twin knowledge, or Python programming language. Knowledge of additive
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, adaptive control) Experience applying machine learning/AI to engineering systems Proficiency in programming and simulation tools such as Python, MATLAB/Simulink, and/or ML frameworks (TensorFlow
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programming in Python, GEE, or R, and working with modern scientific computing and/or AI/ML frameworks. Experience with analyzing large, heterogeneous environmental, geospatial, remote-sensing, or
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relations) Demonstrated strength in quantitative methods and programming (e.g., Python or R; reproducible workflows; version control) Experience or interest in AI/ML application to ecophysiological