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Field
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degree required Demonstrated technical skills Strong publication record and the capacity to work effectively in a multi-disciplinary work environment. Good written and oral communication skills
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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computing facilities available at ORNL and other DOE facilities. Independently plan and conduct simulations and work with experimentalists to help interpret spectroscopic results and help design new
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, mathematicians, and software engineers to develop, validate, and use the ocean component of the new climate model, which leverages the Julia programming language to make it flexible, easy to use, and easy to
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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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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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scientist. You are able to write manuscripts for publication in peer-reviewed journals independently. You can communicate biomaterials development and evaluation results in clear and simple language. You are
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programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively in interdisciplinary teams and mentor students. Work Environment: This
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. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written
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reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs