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resources and demonstrated ability in applying numerical techniques to water-energy research. Strong candidates will have advanced knowledge and skills relevant to one or more of the following areas: River
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languages, such as Python, Igor, and labview. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative
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self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set
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Python, Julia, R, Fortran, or C/C++. Evidence of scholarly productivity, including peer-reviewed publications and conference presentations. Excellent written and oral communication skills and the ability
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to scientific visualization, ML/AI, HPC, and statistics. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability
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, with the ability to work collaboratively in a team setting. Preferred Qualifications: Experience with AI-readiness pipelines, particularly in integrating scientific data with AI workflows. Familiarity
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or tools relevant to scientific visualization, ML/AI, HPC, and statistics. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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environmental science, environmental chemistry, civil/environmental engineering, biogeochemistry, biology or related discipline. Knowledge and experience in laboratory environment. Ability to articulate a
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structure and statistical mechanics codes, and data science tools would be highly desirable Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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with advanced manufacturing processes such as laser powder bed fusion and directed energy deposition. Motivated self-starter with the ability to work independently and to participate creatively in