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Engineering Applied Mathematics Required Skills & Research Experience: Strong programming proficiency in Python. Hands-on experience with generative AI models, particularly Large Language Models (LLMs), through
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as Brightway, openLCA or SimaPro Understanding of biomass conversion research and knowledge
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, computer engineering, computer science, electrical engineering, or related fields Demonstrated experience in coding languages such as, Python, GO, and Rust Demonstrated knowledge or experience in
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field; or currently enrolled in a Ph.D. program in these fields Strong programming skills in Python, Go, Java, or C++ Demonstrated knowledge or experience in software engineering principles, data
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instrumentation Programming experience in Python, particularly for data analysis and experimental automation . Job Application Submission Window The anticipated closing window for application submission is up to 30
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program in Computer Science, Chemical Engineering, or a related field Demonstrated programming skills in Python and libraries such as: SciPy, Matplotlib, NumPy Strong motivation to contribute to high-impact
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proficiency in at least one modern programming language (e.g., Julia or Python) Solid understanding of core computer science principles and software engineering practices Experience using Git and GitHub
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Proven leadership in offensive cybersecurity research and program management, including planning and executing complex experiments with strategic impact Advanced proficiency in Python, PowerShell, C/C
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techniques (i.e. fast Fourier transformation, mode and oscillation analysis etc.) Demonstrated proficiency in python programming or other major programming language Demonstrated experience in power system
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with data center modeling is a plus. Hands-on experience with new IBR models (e.g., WECC REGFMA1, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other