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SQL Server and experience with Python are an asset Criminal record check will be required Department: Info & Communications Tech, Enterprise Arch & Data Management Status: Term CSPIP 16 month internship
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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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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
candidate has A relevant Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python
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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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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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. 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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software such as OpenSees and SAP2000 is preferred. Programming skills in MATLAB or Python are desirable. All applicants must have valid GRE scores and satisfactory GPA. International applicants must provide
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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