Open Postdoctoral position, faculty mentor Aya Kamaya

Translational Postdoctoral Scholar for Advancing Multi-Parametric 3D Tissue Characterization, Contrast Ultrasound Visualization and Quantification in the Clinic
 
We are increasing ultrasound’s clinical impact as a bedside, inexpensive, radiation free and non-invasive imaging modality. To do so, we are introducing new state-of-the-art imaging technologies for targeted molecular ultrasound imaging and developing quantitative and machine learning approaches to mine unique ultrasound signals to answer pertinent clinical questions. Special emphasis is put on imaging cancer including liver, pancreatic, renal, and prostate cancer, as well liver diseases such as fibrosis, steatosis and inflammation. Our mission is to integrate novel tissue characterization imaging strategies with ultrasound into multi-modal clinical protocols for improved patient management and care.
 
We are seeking candidates interested in clinical and translational imaging (including direct involvement in clinical studies), machine learning, ultrasound image processing and quantification methods; candidates will be supported by several NIH grants in the Translational Ultrasound Lab @ Stanford. This is an opportunity to be exposed to clinical studies/the regulatory process, data analysis, algorithm development, validation of medical imaging biomarkers, grant writing/NIH. Candidates will have the opportunity to work directly with clinicians and researchers in gathering data, as well as team members across several labs that include clinician/scientist in radiology, urology and GI/hepatology to explore image quantification methodologies in the context of ultrasound, and experimental work to validate these parameters.