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Field
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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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in C/C++ and Python with several years of practice. Experience in maintaining high-quality code on Github. Ability to visualize experimental results. Effective inter-personal and team-building skills
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characterization techniques Expert in the importance of defects for material properties and performance Expert in combining different numerical tools via Python scripting Experience in performing complex simulations
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. Experience in writing successful grant applications. Knowledge, Skills, and Abilities: Knowledge of wireless communication protocols and standards. Proficiency in programming languages, such as Python, C
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& Pressure Vessel Code, API standards, R5, RCC-MRx, or similar documents. Coding experience in Python. Skilled in oral and written communications, with the ability to present research at all levels
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 23 hours ago
related field. Prior knowledge or experience with high pressure, high temperature experimental reaction vessels and nuclear magnetic resonance (NMR) is desirable. Proficiency in Python or similar tools
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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analysis of biological datasets using R, Python, SAS, or related platforms Ability to integrate laboratory, greenhouse, and environmental datasets to support predictive analyses and IPM-focused decision
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with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in
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in Python or MATTLAB Qualifications: PhD required A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Joining the CMU team opens