53 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at National Renewable Energy Laboratory NREL
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aspects of systems engineering. Moreover, the candidate will be able to learn different techniques and measurement equipment utilized for thermal, mass transfer, mechanical, and chemical measurements. Job
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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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to use various computer software programs. Researcher III Relevant PhD. Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience
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electric distribution systems research, using power-flow modeling, optimization, machine-learning, neural networks, capacity modeling, forecasting techniques, statistical analysis, and data analysis among
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, design, and analyze distribution and bulk power systems. You would join us in researching, supporting and advancing electric distribution systems research, using power-flow modeling, optimization, machine
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events, facilitate partner engagement, and ensure our leadership and guests have a seamless experience. This role offers opportunities to learn the inner workings of a world-class organization and grow
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, computer engineering, computer science, electrical engineering, or related fields Demonstrated experience in coding languages such as, Python, GO, and Rust Demonstrated knowledge or experience in
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computer software programs. DOE Q or TS Clearance: Must be able to obtain and maintain a DOE security clearance at the DOE (Q) and SCI access or DoD (TS) and SCI level. SCI access may require a polygraph
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program, or currently enrolled in a PhD program in cybersecurity, computer engineering, computer science, electrical engineering, and related fields Demonstrated experience in coding languages such as
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information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and