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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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or individuals, Professional demeanor, high energy, dynamic personality and excellent communication and interpersonal skills, Proficiency with Microsoft Office and other computer applications, Proven verbal and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 13 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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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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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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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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lab, you will play an important role in advancing the research agenda. Your responsibilities will include: · Perform research on computational modeling of EF-hand proteins · Perform method development
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. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. May require routine work with biological samples, including recombinant proteins and antibodies. Use
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demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban–agricultural landscapes, (2) estimate
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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