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. Support backend engineering initiatives based on scalable Python microservices, contributing to architectural reviews, code quality improvements, and production-grade deployment practices. Design and
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Maintain detailed records of results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://uiexperimentalforest.org/ Position
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such as Python, C/C++, or Java. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and geospatial libraries (e.g., GDAL, GeoPandas). Experience managing or supervising
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of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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Sensitivity, Energy Sectors, Executive Summary, Graphic Design, Greenhouse Gas Accounting, Microsoft Excel, Oral Communications, Python for Data Analysis, Quantitative Analytics, Service Oriented, Tableau
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to institutional workflows by leveraging expertise in Python, Azure AI Foundry, and machine learning to build scalable, user-centric AI applications. The developer collaborates with cross-functional teams
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statistical analyses on patterns or trends in regulation using appropriate statistical programming languages such as R or Python. Produces reports summarizing research and analyses in an effective and objective
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Proven practical and theoretical experience of several years with electromagnetic methods in Geophysics Proven in-depth experience in programming numerical applications (e.g. with C++, Matlab, Python
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least five years of experience in software development, with at least one year in a senior developer role. Experience with a range of programming languages, which could include Python, VBScript, HTML, SQL