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learning algorithms focused on image data, natural language processing, and tabular data Conduct exploratory data analysis and feature engineering for high-dimensional datasets, including image, text, and
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materials, implementing algorithms, creating software, and investigating new approaches and technologies. Assists with conducting research, including setting up, calibrating, maintaining research records
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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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faculty from diverse backgrounds and experiences. About the Position The School of Computing and Information (SCI) seeks a tenure-stream Assistant Professor in the broad area of quantum algorithms. SCI has
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advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential
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to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors – selecting algorithms, preprocessing data, training models, and evaluating
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to oversee their high throughput omics project design, data analysis, and data presentation. The incumbent will also be responsible for collaborative computational and informatics research projects involving
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Cancer Center to oversee their high throughput omics project design, data analysis, and data presentation. The incumbent will also be responsible for collaborative computational and informatics research
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. Successful candidates will have the ability to work with a multi-disciplinary program team from RTI, Northwestern, and University of Pittsburgh to solve complex problems in the areas of substance use disorder