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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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. Strong communication skills in English (written and spoken). Preferences: Preferences: Optical image processing Cloud computing Uncertainty estimation Machine learning Experience with version control (e.g
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. This project examines how variation in learning environments impacts how children learn and use language. The project incorporates a wide variety of concepts and methods from multiple fields, including automated
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analytical techniques and machine learning. A primary task of the post-doctoral researcher will be to lead model development and enhancement efforts within the UMD NCSG-CGIS team. The goal of this project is
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, preliminary data analyses, manuscript preparation, and will participate in dissemination processes as co-author and conference presenter. The successful candidate will also have the opportunity to learn about