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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful candidate will collaborate
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-material interaction, thermal and cavitation damage assessment and prediction. Experience:Multiphysics computational simulation of laser-induced bubble dynamics near soft and hard boundaries, and/or
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., https://tinyurl.com/yy8xwtoq , https://tinyurl.com/bhkr2mm5 , https://tinyurl.com/2f99j7df , and https://tinyurl.com/ysxhmujv The overall goal is to: (1) develop inference and dynamic prediction
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transfer in community dynamics and evolution, predictive assembly of complex microbial communities, and programming of self-organized pattern formation in engineered bacteria. Duke University is an
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, ChIP-seq, and ATAC-seq, CRISPR and RNAi perturbation screens 3. Ability to build predictive statistical and machine learning models that integrate multiple data types, including linear and nonlinear ML