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automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement
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application of modeling and simulation (M&S) strategies to support: PK/PD analyses Exposure-response characterization Dose selection and optimization Evidence of scientific engagement and emerging thought
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to a research direction on personalization and optimization of neuromuscular electrical stimulation. The position includes support to develop additional research and pursue independent funding within
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datasets. SQL, database management, code optimization, parallelization, and/or other approaches for efficiently analyzing very large healthcare datasets. Survival and time-to-event analysis, including
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, access narratives, and strategic recommendations that support reimbursement, coverage optimization, and differentiated product positioning Create educational materials and resources that communicate