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fellow will report to Prof. Taylor Woehl, the PI of this group. This position will be the primary experimentalist on a project aiming to image chemical and microstructural transformations during
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responsibilities to include the following anticipated courses: Python for Data Analysis Statistics, Data Analysis, and Data Visualization Machine Learning for Data Analysis Imaging and Image Processing Interested
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. Ability to automate processes using programming/scripting languages, Windows PowerShell, .NET, and Batch. Advanced knowledge in Windows Server and Workstation, SCCM, Intune, MDT, imaging, and Group Policy
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of additional techniques in our research portfolio. Areas of expertise include but are not limited to: Microwave remote sensing including synthetic aperture radar; Hyperspectral imaging; Thermal remote sensing
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bi-parental mapping analysis. Machine Learning and Statistical Analysis: Proficient in conducting and troubleshooting machine learning analysis using large image or numerical datasets for disease
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the work of others on the project. Mentor students and faculty specialists Lead data analysis Draft reports/deliverables Administer pilot studies and prototype development Primary author/presenter
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range of the GLMWT is highly desired. In addition, familiarity or prior test experience with modern diagnostic systems, such as Particle Image Velocimetry and Pressure Sensitive Paint, are highly desired
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of Windows/Mac OS, web browsers, productivity applications (MS Office), and Active Directory. A general understanding of networks, authentication, application packaging, and imaging. Knowledge of web