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, analysis of samples using standard and high throughput biomedical methodologies Analyze and interpret data and results, particularly in collaboration with computational biology experts and prepare
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choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits
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, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and
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on obesity, health insurance, and public health systems. We seek candidates who are skilled in solving quantitative macroeconomic models with heterogeneous agents, in empirical quasi-experimental analysis
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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Qualifications Minimum Education and Experience Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical modeling
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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observation of the geomagnetic field from space on the one hand, and of advanced numerical simulations of the geodynamo on the other hand, have opened new avenues for our understanding of the dynamics at play
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated