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Fellow (Post Doc) Manhattan, Kansas On-site requirement
The Department of Diagnostic Medicine/Pathobiology within the College of Veterinary Medicine is seeking applicants for a Fellow (Post Doc). This position is for a Post-Doctoral fellow to conduct independent research as part of a newly established research team at K-State (Souza-Neto Lab). This position focuses primarily on studying the interplay between host/vector-virus-microbiome in agricultural and zoonotic arboviruses. The selected candidate will engage in research activities encompassing a wide repertoire of modern technologies including WGS, RNA-seq, 16S microbiomics, gene silencing and genome editing to identify target genes and microbes important for virus infection/transmission that could be further used to the development of countermeasure tools to such diseases. This position is part of multidisciplinary and collaborative activities that will require engagement with collaborators within and outside the college, including USDA, and requires dedication to activities related to insect vectors (mosquito) rearing and manipulation, and eventual support to animal. Duties would include planning and conducting experiments; writing and editing manuscripts/articles; establishing procedures and techniques; and provide educational guidance to students. The position requires the individual to display critical thinking and independent judgement as it relates to ongoing and new molecular, viral, host and vector research with direct guidance from the Principal Investigator.
Fellow (Post Doc) Manhattan, Kansas On-site requirement
The Division of Biology, Kansas State University, seeks a highly motivated postdoctoral scientist to investigate mechanisms of translational regulation in eukaryotes in the laboratory of Dr. Katsura Asano.
Research Associate Manhattan, Kansas On-site requirement
The Wheat Genetic Resource Center (WGRC) in the department of Plant Pathology at Kansas State University is seeking a full-time Research Associate as a Computational Biologist or Bioinformatics Scientist. A successful candidate will join a vibrant team of researchers investigating diverse aspects of wheat genetics and genomics focusing on the development of resources, tools, and strategies to identify and deploy beneficial wild relative diversity in breeding. The position’s focus will be on the computational analyses of large-scale datasets generated for wheat and its wild relatives in genome mapping experiments aimed at identifying beneficial genomic variation and genes to improve agronomic traits important for wheat production. The position will maintain the WGRC informatical infrastructure while developing and maintaining data storage, organization, and the processing capabilities of the on-going research projects.