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knowledge of models of strongly correlated electron systems. Proficiency with scripting or programmatic languages, such as Python, c, and MATLAB. Excellent written and oral communication skills. Motivated
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languages, such as Python and C++. Demonstrated experience in structural materials, such as research in phase transformations or mechanical behavior. Demonstrated effective written and oral
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learning algorithms for engineering systems Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages Experience with parallel computing environments and Linux
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Experience with numerical computing using programming languages such as C++, Python, etc. Author or co-author of open literature publications Special Requirements: Applicants cannot have received their Ph.D
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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
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Neuromorphic computing or Spiking Neural Networks Machine learning, AI/ML algorithms, or scientific computing Strong programming skills in Python and/or C++. Preferred Qualifications: Ability to work
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preferred; experience using Python, R, and/or OriginLab is highly desirable. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate
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. Demonstrated expertise in writing advanced software in Python. Demonstrated experience with the LINUX operating system, LaTeX, Git, Python. Demonstrated expertise in the design and implementation of deep
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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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written and oral communication skills. Experience with MPI, OpenMP, parallel I/O (including HDF5), CUDA and/or OpenACC, Fortran, C++, Python. Motivated self-starter with the ability to work independently