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. These models will leverage data collected from multiple sources, including unmanned aerial systems (UAS), satellite imagery, ground-based sensors, and other spatial and temporal datasets. The candidate will also
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: PhD in Chemical Engineering or related field Required Education: 1 year of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields Desired Experience
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multiple watershed-scale models, and use these models to better optimize the location of stormwater control measures or understand how green infrastructure will perform at watershed-scale under climate
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-body interventions for healthy older adults and individuals with multiple sclerosis, respectively. The postdoctoral associate will be working on recently completed randomized controlled trials examining
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on understanding the pathogenesis of idiopathic Pulmonary Fibrosis (IPF), and aging as a major risk factor for IPF. Our studies are aimed to mapping senescence cells and identify novel therapeutic targets to control
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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Education: PhD in Chemical Engineering or related field Desired Experience: 3 years of prior research experience on multiscale modeling, hybrid modeling, and model-based control or related fields. Additional
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to mapping senescence cells and identify novel therapeutic targets to control lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo