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Objectives: The participant will learn how to apply bioinformatics software to produce a chromosome-level map of Eimeria parasites. Once this is completed, the participant will learn how to do genome-level
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Microbiology Unit at the USDA-ARS in Peoria, IL invites opportunities to apply for a Postdoctoral Research Fellow – Microbial Ecology Bioinformatics Fellowship trainee opportunity through ORISE. This fellowship
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Objectives: Through this fellowship, you will gain valuable hands-on experience and develop expertise in laboratory research and bioinformatics. You will have the opportunity to learn and enhance skills in
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collaborate with other lab members to develop skills in PCR (to generate long (11 kb) PCR fragments), next generation sequencing and bioinformatics analysis. The results of this work will provide new insights
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. Preferred skills: Excellent communication skills and proficiency in basic bioinformatics skills. Strong drive for lab research and some background in vaccinology and Immunology. Techniques to include, but
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) or be currently pursuing. Preferred skills: Experience in immunology, cell biology, molecular biology, animal models, virology or bioinformatics is desirable. Applicants with strong publication records
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skills in novel bioinformatics-based tools for analyzing and interpreting genomic, metagenomic, and/or gene expression datasets from animals and microbes, particularly in response to emerging Salmonella
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, Bioinformatics, or a closely related field). Degree must have been received within the past five years. Preferred skills: Demonstrated experience and extensive practical experience in modern genomic and
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, bioinformatics and single cells sequencing Previous mouse handling experience Ability to collaborate with others in a team environment Strong written and verbal communication skills Publication record in peer
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, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will hold a PhD degree in Biomedical Science, Bioinformatics, Data Science