-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte-Carlo... design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured...
, or Monte-Carlo techniques; performing analysis leveraging market risk, credit risk, liquidity risk, or mathematical finance... design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured...
. Utilize stochastic calculus, Monte Carlo simulations, numerical partial differential equations, and other computational... currency; utilizing Monte Carlo simulations, backward induction, and other numerical methods to solve partial differential...
financial engineering, Monte-Carlo simulation, differential equation. Job Requirements: Master's degree (U.S. or foreign..., including stochastic calculus, no-arbitrage pricing theory, partial differential equations, Monte-Carlo simulation...
design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured... calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte...
algebra, probability theory, numerical methods, or Monte-Carlo techniques; performing analysis leveraging market risk, credit..., analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large...
computational methods such as qm-DFT, Monte Carlo methods, etc. Knowledgeable in the routine use of molecular modeling software...) spectroscopy to acquire and interpret (1D and 2D 1H, 19F, 13C, 15N, etc.) data for molecular structure elucidation. Apply ssNMR...
such as qm-DFT, Monte Carlo methods, etc. Knowledgeable in the routine use of molecular modeling software (example: Gaussian... and interpret (1D and 2D 1H, 19F, 13C, 15N, etc.) data for molecular structure elucidation. Apply ssNMR to characterize...
basis behind modern computational methods such as qm-DFT, Monte Carlo methods, etc. Knowledgeable in the routine..., etc.) data for molecular structure elucidation. Apply ssNMR to characterize pharmaceutical materials such as particles, powders...
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