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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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the development of ballistic protection panels using computational numerical methods, and to validate your results by comparison to experimental tests of the designed panels. Your activities will include
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), numerical methods, and basic knowledge of material science. It is meriting to have one or more of the following skills/qualities: experience and/or thorough understanding of theoretical/numerical methods
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arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
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diversity of methods and data available to the discipline. We are further developing our core undergraduate programmes and will be recruiting world leading staff accordingly to ensure these programmes
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optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is