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to clean and organize incoming JHHCC and CNICS data. Identify potential problems with study data and collaborate with data managers to resolve issues. Read concept sheets and draft statistical analysis plans
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science, industrial engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based
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collaboration with actors from energy research, you will apply methods to enhance data and software interoperability, enabling the automated reuse of energy system analysis workflows. Following FAIR and Linked
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, contributing to the development and maintenance of FlaGs and its web server for comparative genome analysis, developing Python-based tools and code for retrieval and processing of publicly available genomic data
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useful for candidates interested in pursuing a PhD or advanced Master’s program in Sociology, Labor Relations, Management, Public Policy, or related disciplines. Prepares data for analysis, conducts
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Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible research, open
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nákladov a prínosov. More information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https://fem.uniag.sk/sk/doktorandske-studium Additional research info: jan.pokrivcak@uniag.sk
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facilitates process design changes by conducting business and systems process analysis and design at a complex level; focusing on quality improvement and data management; ensuring data is reliable and valid
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Postdoctoral Research Associate — Computational Analysis of Data Center Impacts on Communities and the Electric Grid Co-Advised by Prof. Negin Alemazkoor and Prof. Lisa Colosi-Peterson The Civil and
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-series analysis, and environmental data analysis. • Demonstrated experience in artificial intelligence, including machine learning and deep learning, applied to hydrological or water-related systems