57 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at National Renewable Energy Laboratory NREL
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Posting Title Graduate PhD Student (Year-Round) Machine Learning Applications for Cyber-Physical Power System Operations Intern . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per
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Posting Title Graduate Intern – Machine Learning - Solar Forecasting . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
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sensor placement and communication design Develop and train machine learning model to estimate and forecast grid edge conditions Support grid applications such as DER aggregation and voltage control
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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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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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The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and execute research in collaboration with other researchers Perform
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enzyme activities and conduct directed evolution, structure-guided protein engineering, and machine learning-guided protein engineering studies to improve enzyme and pathway function. The ability
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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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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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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