84 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at National Renewable Energy Laboratory NREL
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reactor-scale simulations Knowledge of or experience with catalytic processes (modeling or experimental) Knowledge/experience with machine learning i.e. tensor flow/PyTorch . Job Application Submission
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candidate is expected to have a good knowledge of steady-state as well as dynamic modeling of power distribution systems. This will be a 3-month opportunity. To learn more about the work this team does
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for a graduate student researcher focusing on Visualization and Human-Computer Interaction techniques, with special emphasis on interactive data-driven visual interfaces and immersive/creative
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various computer software programs. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Level II: Application of technical principles, theories and
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into high-integrity, queryable databases that support machine learning models, visual analytics, and advanced simulations. Responsibilities Ingest, clean, and validate diverse datasets from internal and
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, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status
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. Collaborate with a multidisciplinary team of engineers, computer scientists, and data scientists to put research insights into open-source software products. Publish research findings in leading academic
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response, or related areas, including the use of dispatch, radio systems, and computer networks. Proficiency in Microsoft 365 tools and a willingness to learn specialized software. Ability to handle
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/unix Experience with collaborative code development Experience with Machine Learning Experience with the Geospatial data abstraction library (GADL) Experience with big geospatial data processing . Job
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interface and configuration for research projects to interface data services, co-simulation with remote sites, servers and enterprise virtual machine environments. Support data handshake and connectivity