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. Position requires: 1. Mathematical statistics and data analysis fundamentals including: large scale data mining and modeling; 2. Operations research, stochastic optimization, machine learning, queuing theory
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this exciting role, you will be performing theory, simulation, and data mining to screen materials for energy applications. The main project will use an automatic optimization framework coupled with DFT
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and is very self-motivated. Project One Title: Improving Network Observability Term: Summer 2024 Required skills: Computer Networking familiarity, Python or comparable programming language, Data
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assessments, conduct analysis, and data mining for compliance reporting and ensure program metrics are met. This role will partner with field maintenance supervisors, engineers, and project teams to create new
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systems to assure data integrity and reporting consistency. Working independently or directing the work of more junior analysts on special projects ranging from long-range forecasts to data mining
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The Materials Science Divisions at Lawrence Berkeley National Lab (LBNL ) seek highly motivated Postdoctoral Fellow to join the Minerals for Energy Storage Synthesis (MINES) program of the Lithium
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&E networking community to prototype and deploy common analytic solutions. What is Required: Bachelor’s degree and a minimum of twelve years of data mining and modeling, including analysis of large
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identify challenges and opportunities to inform scientific inquiries to ensure an equitable and inclusive transition. Data Wrangling, Integration, and Mining: You will acquire and integrate several readily
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, or facilities can strengthen the supply chain. You will conceptualize and carry out analysis and modeling based on data collected from various sources and conversations with experts and stakeholders. Research