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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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. Knowledge of Python programming language. Preferred Qualifications: Experience with object-oriented programming languages (especially C++), version control system (Git) and software development practices
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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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salt breeders) is a plus. Experience in the analysis of heat transfer systems. Working knowledge of computer languages such as C++, FORTRAN, or Python. Experience with computer aided design (CAD
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, optical or electrical engineering, or a related discipline. Expertise in optical fiber communications and sensing. Proficiency in Python, C/C++, or other language for data analysis or instrumentation
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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Substantial programming skills using Python or modern C/C++ Experience with machine learning and deep learning libraries Experience building AI models in platforms such as TensorFlow, Keras, or PyTorch
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effects testing, or extreme environment effects testing. Ability to draft high quality technical documents and give technical talks to the scientific community. Proficiency in Python, C++, or other similar
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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in materials characterization techniques such as Raman and scanning electron microscopy. Data analysis skills using Python, MATLAB, or similar platforms. Excellent written and oral communication skills