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Field
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neural networks, knowledge graphs, and graph databases - Proficiency in programming languages such as Python, R - Excellent analytical and problem-solving skills - Strong communication and teamwork
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analytics - Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis Additional Application Materials Required Cover letter CV Research Statement or Relevant
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of decarbonization policy pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and
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, signal processing, and data analyses. Experience with programming in MATLAB or Python is preferred, but not required. Experience with animal research is highly valued, but not necessary.
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, etc. and have experience with the FORTRAN, C++ and Python programming languages and be comfortable working in high performance computing environments. Preferred Qualifications . Job Application
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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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experience using and advancing data analytics and modeling, which may include using FEFF, Python or other modeling/programming languages. • Your experience is demonstrated through publications, GitHub
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. Proficiency with scripting or programmatic languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to