-
nanoparticles or mRNA for in vivo imaging and to deliver RNA in vivo for disease treatment and cancer prevention. Additional Information: Required Education and Experience: PhD in Biophysics, chemistry
-
an interdisciplinary approach that integrates mitochondrial patch-clamp electrophysiology, advanced live-cell and label-free imaging, structural biology (cryo-electron tomography and cross-linking mass spectrometry
-
: Minimum Required Qualifications PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models. Experience coding in
-
, data analysis, and scientific communication. Interested applicants should submit a CV and a cover letter that explains desired research direction. Minimum Education Required PhD in chemistry, physics
-
to apply. The successful candidate will contribute to the development of next-generation AI methods for geophysical imaging and monitoring, advancing both fundamental Earth science and engineering
-
; plans and executes advanced cellular biology, molecular biology, quantitative fluorescence microscopy, live-cell imaging, and flow cytometry research techniques and procedures; develops, adopts and
-
will perform electrophysiology and molecular biology experiments, analyze mitochondrial function, conduct live-cell and high-content imaging studies, perform mouse behavioral assays, and contribute
-
imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
-
, and metabolic disorders. Experimental approaches include genetically engineered mouse models, MI and sepsis (CLP/LPS) models, aging and metabolic disease models, and molecular, cellular, imaging, and