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with deep learning models such as autoencoders and neural networks. Experience with ecological, geospatial, or movement data (e.g., GPS telemetry). Strong oral and written communication skills, including
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clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn and gain hands-on experience to complement your education and support
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pursues disruptive qubit research, innovative workforce development programs, and deep, collaborative partnerships to tackle some of the hardest open problems in quantum information science and technology
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learning about the scientific process and field sampling methods. The fellow will also learn to identify common plant species of the interior Pacific Northwest, collect and process increment cores for tree
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, cell-based assays, and quantitative immunologic methods to measure functional antibody activity. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to: Learn
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mycobateria and brucella families in various species of animals using serological tests as part of the eradication program. Learning Objectives: The participant will have the opportunity to learn about zoonotic
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Project: This research is a component of ARS National Programs 305 (Crop Production) and 304 (Crop Protection & Quarantine). Throughout the course of this project, the participant will learn about project
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integrating advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques with process-based crop models, this research will empower farmers to optimize conservation practices, increase
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Salmonella detection methodologies. Learning Objectives: The participant will learn about stakeholder-focused research, data science, scientific communication, food safety applications, real-world data, and
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strategies to improve safety and efficacy of T cell therapies. Learning Objectives: The overall learning experiences you will gain are as follows: Will learn to perform laboratory research on projects related