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Field
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using a variety of data extraction tools (e.g., web-scraping, data mining). S/he will independently carry out data management, visualization, wrangling, and analysis tasks. The Data Scientist will assist
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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to support research launch. This Assistant Professor position is expected to develop nationally recognized, extramurally funded research programs, mentor PhD students, and participate in undergraduate teaching
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are robust, especially in the selected industry use cases. This staff scientist position is linked to the research group Deep Data Mining in the department of Computing Science, which focuses on fusing data
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by Provincial Health Order (PHO). Preferred Qualifications PhD in a health care field with publication record in MRI data analysis methodologies. Experience in teaching and mentoring at the university
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(AMEX) is conducted over a massive spatial and temporal extent. The Research Technician oversees data management from a series of research forests spanning the north-south length of the Sierra Nevada
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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Preferred Qualifications Applicants with a PhD specialization in rhetoric and composition Evidence of attention to diversity, equity and inclusion in teaching and/or service. Compensation Grade Lecturer I, 9
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options Cheap parking (from just $5.75 a day) Salary packaging options About You A PhD or masters qualification preferably in Data Science (or a combination of statistics and computer science), or Business
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logistic regression, structural equation modeling, vector autoregression, and cross-lagged panel analysis); open-ended data mining; applied machine learning including Natural Language Processing, Large