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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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. The postdoc will also help faculty produce white papers related to U.S. business dynamism issued by the Center for Global Business. The principal duties include collecting data, maintaining databases
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successful completion of the PPFP Program and review, the Fellowship may convert to a tenure-track Assistant Professor position. PPFP website: https://gradschool.umd.edu/postdocs/presidents-postdoctoral
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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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design, build and test the efficacy of the cleaning appliance. The postdoctoral investigators will work with Dr. Christine Hartzell and other team members (postdocs, grad students, and undergrad students
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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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computational modeling. The postdoc will carry out daily research tasks in the lab, including maintaining cell culture, protein expression, and purification, running biochemical/biophysical assays, protein
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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