28 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" research jobs at National Renewable Energy Laboratory NREL
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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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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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practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python
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practices related to specific field. Excellent leadership, communication, problem solving and project management skills. Ability to use various computer software programs. Researcher III Relevant PhD
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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
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basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed
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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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, 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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for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry