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for critical energy and technology sectors. Ability to assess the economic and operational impacts of large-scale AI adoption (e.g., data centers, compute infrastructure) on U.S. electricity demand, generation
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chemistry, chemical engineering, physics, computational science, materials science, or related field. Background in synchrotron characterization techniques. Experience collecting and analyzing large
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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team. Â Preferred Qualifications: Experience with rodent behavior and olfaction. Proficiency in Python or other programming language for large data analysis. Experience with quantitative approaches
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data from social network surveys, carrying out interviews with participants, and preparing and delivering manuscripts and academic presentations. This position will also mentor graduate and/or
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
well as several postdocs and a large number of visitors. We also interact strongly with our particle theory colleagues, among whom Robert Jaffe, Hong Liu, Jesse Thaler, and Frank Wilczek have particularly strongly
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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of coastal wetlands to environmental disturbances. Data Integration and Analysis: Perform multimodal and multiscale data analysis by integrating a diverse range of datasets, including in situ observations
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extracellular vesicles (EVs). Raising rats with Gulf War Illness and mice with traumatic brain injury. In vitro assays, biochemical and molecular biological assays. Data collection and interpretation. Manuscript