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Forest Sector Industry: A Mixed-Methods Approach.” This interdisciplinary research initiative integrates stakeholder engagement, market analysis, and policy evaluation to develop a strategic
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computational fluid dynamics (CFD), cardiovascular modeling, or biomechanical growth and remodeling. Demonstrated experience with numerical methods (e.g., finite element method), programming languages (C
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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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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for the project, especially in conjunction with their well studied genetics and recently developed high-throughput single-cell phenotyping methods based on microfluidics. The output will be generalizable to a much
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on the development of innovative methods and processes for the synthesis, shaping, functionalization, and biofunctionalization of materials, as well as the development of specific and/or customized characterization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
Mathematics Lab integrates mathematical theory and numerical simulation with in-house experiments conducted in our dedicated wet lab. This collaborative environment extends throughout UNC’s Department
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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optical-based methods. Work duties The main duties involved in a postdoctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform