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outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world
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Software Engineering and Machine Learning team is responsible for maintaining and enhancing existing software applications and designing, constructing, and testing new custom software applications
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. Join the National Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From
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demonstrate the use of practical equipment (including where relevant, software packages), experiments, exercises, techniques and/or processes that may form an element of an undergraduate course of study in line
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equipment. Reviews lessons or lectures with students on a one-on-one basis or in small groups. Supervises students in class, between classes, and during examinations. Assists with tracking attendance, grading
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simulation testbeds/platforms/tools for testing innovative research ideas. Prepare the results in form of reports and presentations. Write and publish results of analyses in peer-reviewed journals
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business users in small group or large group settings. Ensures uniform documentation presentation and content structure including, but not limited to, online documentation. Develops test plans and conducts
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title: CSC491H1S - Capstone Design Project, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: This course is designed and delivered by industry experts from the Software
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in areas such as machine learning, deep learning, or AI). As such, strong computer skills and proficiency in statistical software and programming tools are essential. Postdoctoral experience
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-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NREL you must submit an application form