17 structural-reliability-analysis "https:" Postdoctoral positions at Iowa State University
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Position Title: Postdoctoral Research Associate - Hydro-Economics Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department of Civil, Construction
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Qualifications: Research interests in stochastic analysis Experience in teaching and mentoring students IMPORTANT: Applications must also be submitted online at https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job
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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
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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chemistry, structure, and properties to improve functional performance in the use of critical materials through compositional design, microstructural analysis, and advanced processing methods. Proven
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. Responsibilities will include field-related tasks from planting to harvest, post-harvest seed processing, data analysis, and report and manuscript writing. The successful candidate will have excellent written and
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acquisition and analysis. Required Minimum Qualifications: PhD Preferred Qualifications: Experience in neuronscience (neurodegeneration). Proven track record and publications. Degree related to the medical
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, genetics, or a related discipline. Preferred Qualifications: Experience in molecular and cell biology, omics analysis, and bioinformatics. Record of publication in international journals. Department/Program
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qualitative research design, data collection, and analysis. Conduct interviews, field observations, and document review. Manage research logistics, including recruitment, scheduling, and IRB compliance. Prepare
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict