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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Dependent on Experience/Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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additives (novel and established) to reduce daily methane output from lactating dairy cows while also quantifying their effects on a range of animal physiological and production parameters. The primary
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the feasibility of prototyping an LLM-driven interactive GUI that auto-configures key inputs (e.g., Slater parameters), enabling a closed loop from model setup to analysis for accelerated studies of new materials
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organoid models. These models will integrate dynamic mutations, live transcriptomic imaging, and proteomic data. Simulating and optimizing model parameters using advanced computational techniques, including
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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measure key plasma parameters, as well as the absolute densities of atoms and molecules. The project will also explore how plasma interacts with different materials and how plasma treatment modifies surface
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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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execute experiments Develop and optimize media, inoculum, and process parameters using DoE/RSM; monitor growth, kinetics, and product formation. Operate benchtop bioreactors, implement control strategies