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limited to Vissim, SUMO, Python, SQL, and other traffic data and software. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate
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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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research and learning. Incorporates advanced methodologies such as deep neural networks and language/multimodal models, leading the preparation of scientific Required Department Minimum Qualifications: Ph.D
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of their proposed postdoctoral research. Applicants should include at least two references in the reference section of the application. Preferred Qualifications: Experience in data acquisition and analysis software
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++, optimization software such as Gurobi, and power system simulation tools such as OpenDSS, MATLAB/SIMULINK, RTDS/OPAL-RT. Preferred Qualifications: Strong simulation and analytical skills. Background Investigation