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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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. Research directions. Successful candidates will lead one or more of the following ongoing projects: • Developing neural differential equation and continuous-time dynamical models for spatial and single-cell
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well as numerical methods for partial differential equations, especially finite element methods, both theory and implementation. A successful candidate will work in the topics of interests, which include: (1) solid
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
, or ordinary/stochastic differential equations. • Experience in computational, statistical, or machine learning method development in any discipline. • Experience in analyzing high-dimensional data (biological
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work with Professor Peter Hintz on problems in the areas of geometric partial differential equations and general relativity. These include: linear and nonlinear stability problems and scattering theory
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remaining. ● Strong background in the development and/or application of numerical methods for partial differential equations. ● Experience in implementation of numerical methods. ● Interest and experience in