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can grow your career at UC Berkeley. Departmental Overview The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data
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documentation. Integrate BIM (Building Information Modeling) technologies to track and visualize building infrastructure. Ensure data accuracy and interoperability across multiple platforms, including GIS, CAFM
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Intelligence Enterprise Edition (OBIEE) and Oracle Analytics Cloud (OAC) environments. We support data modeling, architecting, ETL development, RPD development, and data analysis to advance our enterprise data
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
the course of the projects. Examples of Past Projects: IMPAN analysis; feasibility studies; Data visualization; Forestry and farm management plans; Manufacturing process improvement; Creating financial models
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> Identify and triangulate on the relevant market data sources > Conduct competitive research of other organizations and their offerings • Analysis: > Prepare prioritized user needs analysis and recommended
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methods; statistical methods, geoinformatics (including spatial econometrics), AI methods (e.g. NLP methods - Sentiment Analysis, Topic Modelling, Discourse analysis), visualization methods, as
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the REFM Development and Coordination Office, you will provide support to the PPMO team across a broad portfolio of projects. You are encouraged to visit the ESA website: http://www.esa.int Field(s) of
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University of California Office of the President | Oakland, California | United States | 24 days ago
risk framework on data and a robust and connected reporting platform. RESPONSIBILITIES 40% Data/Applications Management: Oversee collection, maintenance, and transformation of data for analysis
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, Excel, and statistical analysis software such as R Expert knowledge of data visualization and business intelligence tools (Tableau, Power BI, or similar) Strong database management and data wrangling