26 phd-computer-artificial-machine-human Postdoctoral positions at Iowa State University
Sort by
Refine Your Search
-
Position Title: Postdoctoral Research Associate – Computational Modeling and Materials Design Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities
-
of Electrical and Computer Engineering at Iowa State University is offering one immediate postdoc research associate position. The selected candidate will be actively involved in projects on optimization, data
-
that function as artificial enzymes. Responsibilities include conducting experimental research in organic chemistry and catalysis, analyzing data, preparing manuscripts, and contributing to ongoing projects
-
/postdocs only, delete for all other positions): PhD in Microbiology, Immunology, Preventive Medicine or related field. Preferred Qualifications: Three or more years of experience working with mammalian cell
-
Food Protection Consortium, working with plastic packaging and recycling to evaluate contamination, regulation, and properties. Required Minimum Qualifications: PhD Preferred Qualifications: Experience
-
and research efforts by participating in activities and conducting experiments related to plant genetics, pathology, entomology, physiology, genomics, statistics, and Artificial Intelligence. Work will
-
vitro and in vivo assays to better understand the pathogenesis and viral-host interactions of Influenza A virus and other viral pathogens relevant for animals and humans. In addition, the individual will
-
. Required Minimum Qualifications: PhD in Chemical Engineering with 10+ years Experience working with fluorescent carbon nanotube-based sensors. Preferred Qualifications: Experience with biomass degradation
-
analysis, and propensity score methods Demonstrated ability to translate quantitative findings for both academic and non-academic audiences Department/Program & College Description: The Department of Human
-
Postdoctoral Researcher in Crop Genetic Resources and Informatics to apply genome informatics and quantitative genetic approaches to trait analysis in specialty (pecan) and field (maize and cotton) crops