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into scalable, high-performance code. Participants will have the opportunity to learn to apply and hone these skills and acquire additional ones as they work on real-world problems. Examples of Research Areas
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and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used
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, data engineering, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, and automation using modern tools and techniques. During this fellowship, you will
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techniques like liquid chromatography mass spectrometry. Learning Objectives: Under the guidance of a mentor, you will: Learn best practices for protecting pollinators from unintended insecticide exposure
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. Learning Objectives: Under the guidance of a mentor, you will learn and gain hands on experience using multiple molecular biology and plant biotechnology related tools and techniques including plasmid vector
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on the creation and development of USGS software releases, and/or presenting novel research at professional meetings and conferences. Learning Objectives: Under the guidance of a mentor, you will gain experience
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. Consistent with the USGS mission to provide impartial scientific information about the Nation’s water resources, this research participation opportunity offers a mentored learning experience focused
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reports/visualizations and presentations, and collaborating with multidisciplinary teams. Learning Objectives: You will train with CDC’s Center for Forecasting and Outbreak Analytics, gaining hands
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expensive and dangerous health threats, and responds when these arise. Research Project: This project will be across teams in the branch to provide an opportunity to learn about the needs of priority
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development, and evaluation, by learning to implement automation, integrating data across systems (SharePoint, Teams, Salesforce, and 1CDP (Palantir System), and creating operational dashboards under