86 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Zintellect
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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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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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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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fields (e.g. Molecular Biology, Plant Biology, Biochemistry, Microbiology, Agronomy, or closely related field). Preferred skills: Experience with DNA extractions and PCR technology. Experience in a
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email [email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received a Ph.D. degree in Agricultural Engineering or a
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international regulatory operations, emerging technology, and pharmaceutical market policy, you will develop a robust portfolio of analytical, writing, and collaborative skills. Engagement with FDA's global
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. The fellowship is based in the Stored Product Insect and Engineering Research Unit at the USDA-ARS Center
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the reference code for this opportunity. Qualifications Candidate should have a Bachelor's or Master's degree in Mathematics, Physics, Engineering, Quantitative Biology, or a related field of study. Knowledge
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for workflow automation, including experience with large language models, prompt engineering, intelligent document processing, and SharePoint-based system integration. The participant will develop skills in data