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the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on Machine Learning and AI models as
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in each crop area and learn basic agronomic, data collection, and plant breeding methodologies in trials and nurseries planted at the USDA-ARS. Learning Objectives: The project assignments will provide
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. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
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experience with time-series data analysis and machine learning including reinforcement learning. Applicants should be proficient in Matlab and/or Python Point of Contact ARL-RAP Eligibility Requirements
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of ARS National Programs 305 (Crop Production) and 304 (Crop Protection & Quarantine). The successful candidate will learn about project management by being a part of research aimed at identifying
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of genes and proteins as regulators of physiological or immunological traits. Learning Objectives: Under the guidance of the mentor, the candidate will gain experience in and learn to utilize a functional
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presentations at regional and national conferences will be supported. Learning Objectives: Under the guidance of a mentor, specific learning objectives include: Conducting independent research aimed at developing
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student should have an eagerness to learn and develop in the field and an interest in any STEM fields. Point of Contact Debbie Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Currently
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for real-time surveillance and precision applications. Learning Objectives: The candidate will gain hands-on experience and advanced knowledge in utilizing cutting-edge geospatial tools, including UAV-based
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invaluable hands-on experience and develop advanced skills while working closely with the Research Entomologist throughout all phases of the research process. This opportunity will allow you to learn and