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are: Technical Expertise in developing applications with Generative AI and LLMs such as GPT, Claude, or Gemini and demonstrated experience with Python. Excellent with follow-up and follow-through
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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capabilities. Experience with DAS or coherent optical interferometry. Proficiency in laboratory instrumentation and optoelectronic bring-up. Ability to program for data analysis/signal processing (e.g., Python
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, documentation and more. ● 3 years of experience in the following: developing complex reports, metrics and OLAP cubes within MicroStrategy; advanced scripting knowledge in MicroStrategy command manager, Python
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electrophysiology in rodents and Matlab/Python-based data analysis. Applicants must have a Ph.D. or equivalent degree. Responsibilities may include working independently and as part of collaborative research groups
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power users to design and implement infrastructure that supports analytics and machine learning workflows, including feature engineering pipelines and model outputs integration. Use Python or R to support
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: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data processing will be an advantage. The opportunity to continue
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with NREL staff and researchers to develop and apply the necessary modifications to the existing python code such that the system of equations applicable to fuel-cell electrochemistry. Responsibilities
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., HRS, GFS) in R, Stata, or Python Conduct descriptive, inferential, and multivariate statistical analyses according to project aims Create and document reproducible analysis pipelines Manage code
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
distance of their assigned duty station. Education and Experience: Experience using Python and/or R and relevant libraries for working with images, natural language processing, and working with application