17 designer-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" Postdoctoral positions at Iowa State University
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, design, plan, and execute wet-lab experiments, conduct bioinformatic and statistical analyses, and write peer-reviewed journal articles. Key Responsibilities Design and implement experiments that pair
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using HPLC-MS/MS and LC-MS/MS, molecular analyses, steroid hormone quantification, experimental design, and manuscript preparation. The position also includes maintaining detailed research records
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, experimental design, data analysis, manuscript preparation, and training and mentoring graduate students. The position also includes maintaining detailed research records, managing laboratory sample inventories
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electrochemical technologies through catalyst and electrode development, reactor design and optimization, and analytical evaluation of reaction products to enhance nitrate and nitric acid production processes
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will conduct advanced data analyses, design and manage controlled-environment experiments, and support the publication of research findings in peer-reviewed journals. Key Responsibilities Analyze
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, and GC-MS platforms. The individual will collaborate with faculty, staff, students, and external researchers to design experiments, prepare samples, acquire and analyze data, and interpret complex
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assay development. Research areas include investigating the regulation of streptococcal peptide systems, applying artificial intelligence approaches to design novel antimicrobial peptides targeting
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physical properties including magnetization, electrical resistivity, Hall effect, specific heat, etc. Prior experience operating and maintenance of Quantum Design MPMS and/or PPMS instruments is preferred
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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candidate will design and execute research studies focused on swine nutrition, management practices, and the adoption of digital technologies within modern swine production systems. They will analyze complex