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cultivated in northern and remote locations. ACRD’s research interests include integrating engineering, intelligent systems, data analytics, and plant biotechnology to optimize crop production in controlled
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electronics technologies for inverter, converter, and controller applications to enable higher power density, more efficiency, reliable and lower cost traction drives, battery systems, and charging
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; Technical laboratories; Indoor and outdoor flight test arenas; Secure research spaces for specialized projects. The Drone Laboratory provides a controlled environment for spectrum characterization, RF
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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external stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates
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applications for surface analysis, including the production of Digital Elevation Models (DEMs); Experience using AI/ML methods for data collection, analysis, and intelligence development; Experience developing