Sort by
Refine Your Search
-
temporal scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine
-
, Insect Ecology, Evolutionary Biology, Molecular Biology, Genetics, Bioinformatics, or a closely related field). Degree must have been received within the past five years, or be pursuing and anticipated
-
diseases and their impact on interstate and international trade and community health. They will learn surveillance procedures, diagnostic testing methodologies and algorithms, serological diagnostic methods
-
for this opportunity. Qualifications The qualified candidate should have received a doctoral degree in one of the relevant fields (Entomology, Insect Ecology, Evolutionary Biology, Molecular Biology, Genetics
-
, from the genome to the continent, and sub-daily to evolutionary time scales. This postdoctoral opportunity entails two major goals. One goal is for the candidate to gain experience in situ monitoring by
-
team of seasoned practitioners and well-established social science researchers to identify, engage with, and study wildland fire across multiple landscapes in the United States. They will help contribute
-
experience in herbicide resistance across multiple weed species; 2) Learn to operate specialized equipment such as an herbicide track sprayer, leaf area meter, root scanner, and LI-COR photosynthesis systems
-
calculating and representing pan-genome relationships, methods for inferring gene families, and methods for inferring evolutionary events from large collections of gene families. The participant will also have
-
experiments across multiple U.S. states to evaluate the long-term effects of conservation practices. Evaluating and improving mechanisms embedded in existing crop models to better reflect the interactions among
-
biologists, and computational scientists to understand and mitigate major disease threats to rice. Ongoing research addresses multiple pathogens and pests of economic importance, including rice blast, sheath