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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 5 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