41 finite-element-analysis Postdoctoral positions at Texas A&M University in Ireland-University-Ranking-2024
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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this position will also possess: Demonstrated experience developing or applying wet-chemical sample preparation methods (e.g., alkaline fusion with NaOH or LiBO₂, HF/HNO₃ digestion, MAGIC/Mg(OH)₂ pre
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of multivariate techniques; repeated measures designs; path analysis, discriminant and factor analyses; and structural equation modeling. Knowledge of quantitative genetic approaches such as genome-wide association
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, developing Tribal capacity for submerged landscape archaeology, and helping inform future survey methodologies and technologies. Responsibilities include laboratory analysis of sediment cores and geologic
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applicable. Preferred Qualifications PhD in data science, and/or public health or related fields including health services research, health informatics, computer science. Experience in data analysis using
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, select, and apply standard techniques of routine research. Keep detailed records of data. Use computers and laboratory or technical equipment to perform data analysis, statistical analysis, and technical
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for analysis, writing/assisting with manuscripts and grant proposals. What you need to know Salary: $50,000/annually Please note: This position is grant funded; future employment may be contingent upon future
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software platforms, sequencing analysis, spread sheets and statistical analysis. Knowledge, Skills, and Abilities Ability to effectively communicate both orally and in writing Ability to positively and
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in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex