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Field
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, stiff systems of partial differential equations Demonstrated expertise in multiphase flows and stiff chemistry/transport source terms in reacting flows (e.g., combustion, plasma), and strong proficiency
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Fellowship Description Applications are invited for Fields Postdoctoral Fellowship positions with the Thematic Program on Quantum Algorithms for Differential Equations (the "Program") taking place
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, and reduce the cost of patient care. Pay and Benefits Pay Range: $24.73/ hour (step 5) - $26.23/hour (step 8 ) which equates to between $51,438.40/annually - $54,558.40/annually for 1.0 FTE, depending
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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 2 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 | 27 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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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE
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partial differential equations, optimization methods, or model-based control concepts is an advantage. You work independently and analytically and are interested in interdisciplinary research
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must have a professionally relevant background in Applied/Numerical Mathematics, Physics, Fluid Mechanics with a solid education in numerical methods for solving partial differential equations. Master
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(for example: optimization in machine learning, optimal control problems, optimization with partial or ordinary differential equations, parameter identification). We are particularly interested in areas