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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale
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is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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predict the water level in selected areas in Sogn og Fjordane, Norway. To make this happen the initial task of the project will be to derive a mathematical model (a partial differential equation) where
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
, catalytic reactors and/or gas-flow systems is highly beneficial Experience with and knowledge of mathematical modeling techniques (numerical solution of Partial Differential Equations) Language requirement
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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. Good expertise in applied and computational mathematics is a requirement. Experience with numerical methods for partial differential equations is an advantage. Experience with collaborative/open-source
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras
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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and