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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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. soil science, biosystem engineering, biogeochemistry). Degree must have been received within the past five years, or anticipated to be received by 10/1/2026. Participants cannot operate government
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, Agricultural Engineering, Hydrology, or related field). Degree must have been received within the past five years, or anticipated to be received by December 31, 2026. Preferred Skills: Modeling experience
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
. This fellowship aims to improve crop protection from pests through the use of natural products, either by discovering safer natural pesticides or by manipulating their production in plants by genetic engineering or
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[email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received or currently pursing a PhD in one of the relevant fields, i.e., Analytical
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accelerating the improvement of pecan cultivars through the discovery of novel genetic variation, development of genomic-assisted management techniques, or other applications of genomic technology in pecan
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virus neutralization assays and/or ELISAs; evaluation of vaccine potency and efficacy in swine and cattle; and use of molecular and cellular techniques such as recombinant DNA technology, DNA sequencing
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surveillance initiatives. Laboratory data-management skills: You will learn to operate various instrument software and a laboratory management database for analytical result review, laboratory information
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60 months or currently pursuing. Discipline(s): Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (5 ) Engineering (1 ) Environmental and Marine Sciences (1
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practical experience in data analysis, scientific writing, oral presentations, project planning, and working on multi-disciplinary teams. Experience conducting statistical analyses with statistical software