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Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), CDC. You will receive training in advanced molecular methods, next-generation sequencing (NGS), viral
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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will support genome-wide prediction of variant effects across pathogen populations represented in USDA-ARS culture collections. Simultaneously, protein language models and structural methods will
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their research. Additional funds are available for supplies and travel essential for the fellow's research. Research Project: Under the guidance of a mentor, you will apply computational methods for identifying
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genetic, genomic, and phenotypic datasets, to support research and crop improvement. Basic and applied research is also conducted within this project. You will use methods in computational biology to
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other