18 applied-harmonic-analysis Postdoctoral positions at Iowa State University in United States
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] Subject Area: Stochastic Analysis Salary Range: $58,656 Appl Deadline: 2026/01/10 04:59 AM UnitedKingdomTime (posted 2025/12/05 05:00 AM UnitedKingdomTime, listed until 2026/06/06 04:59 AM UnitedKingdomTime
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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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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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Position Title: Postdoc in Wildlife Population Ecology Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The primary work will involve the analysis and
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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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). Experience with cell line immortalization and validation. Competency in data analysis (R/Python/GraphPad), and version-controlled workflows. Evidence of mentorship, leadership, and effective cross-functional
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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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, 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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the High Obesity Program, Contribute to data collection, analysis, and dissemination of findings to inform public health practice and policy. Design and implement evaluation strategies for nutrition
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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