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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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vitro and in vivo cell based assays, animal surgical models). - Contribute substantively to the preparation of extramural grant proposals (e.g., R01, program project grants, U01, STTR/SBIR, DoD mechanisms
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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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water quality, development of synthetic stormwater recipes through in-depth literature review and data mining, monitoring and modeling of stormwater treatment systems, investigation of maintenance and
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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Scholar is expected to lead analyses critical to the virome/microbiome research program and to take initiative in contributing to advancing community metabolic modeling in microbiomes, curate under
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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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the efficacy of mindfulness meditation and exercise interventions for cognitive and brain functioning. Additionally, several new projects, including real-time neurofeedback training, development of web-based
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on the development and validation of a new humanized computational model of cochlear nerve responses to electrical stimulation under the mentorship of Dr. Ian Bruce. This work will integrate experimental data obtained