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data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization models such as GAMS. Stipend
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advanced vehicle concepts and better control systems. Actively changing the geometry of the aerodynamic lifting and control surfaces, enables reconfiguration of vehicle structure in real-time to optimized
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gain learning experience in developing optical fiber gas sensors, synthesizing and testing various gas sensing materials, testing and optimizing sensor performance for applications in gas sensing
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into arrays. The activities include laboratory investigations and optimization of the mixer devices (conversion gain, IF bandwidth, noise temperature, LO power, THz coupling, etc.) and also development and
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environmental benefits by the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical
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variety of specialized equipment, including automated immunohistochemistry. Learn to operate, maintain, calibrate, and modify specialized equipment, including optimizes manual immunohistochemistry
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the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve
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aided design (CAD), computer aided manufacturing (CAM), manipulation of digital manufacturing software tools, 3D object slicers, support structure optimizers, computer programmings, and scripting
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, reports and/or journal articles to enhance understanding of the CM binding mechanisms from select sedimentary rocks and to provide understanding of binding changes during the optimization of CM extraction
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk