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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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national and international standards and methods for the measurement of the potency of coagulation proteins used as drugs. You will carry out studies on human and mouse blood plasma supplemented with
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Methods Clin Dev. 10: 105-112, 2018. Learning Objectives: Under the guidance of a mentor, you will receive training in cutting edge technologies directly relevant to promoting public health, opportunities
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participant will be afforded the opportunity to expand their computer and data science skills. Through collaboration, the participant will have the opportunity to understand cervid behavior and animal movement
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to integrate diverse perspectives and convergent methods in addressing complex social dimensions of wildland fire management. Mentor: The mentor for this opportunity is David Flores (david.flores2@usda.gov
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interdisciplinary team composed of USDA-ARS and UC Davis experts! We are seeking a fellow to be a part of our research that involves assessing and monitoring aquifer recharge methods in California’s Central Valley
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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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insecticides using nano- or microparticles, Evaluate active ingredients, and; Develop novel methods that incorporate existing and new products to create new tools for an integrated pest management plan
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analysis experience and scientific writing ability Experience with systematic or scoping reviews (or other structured knowledge-synthesis methods) Experience in R or Stata Knowledge of experimental and