Cancer, neuropathology, and cardiac disease research
The fellow will specifically work on novel time domain (fluorescence lifetime-based) optical imaging technologies for clinical and preclinical applications in cancer, neuropathology, and cardiac disease
Job Summary
The fellow will specifically work on novel time domain (fluorescence lifetime-based) optical imaging technologies for clinical and preclinical applications in cancer, neuropathology, and cardiac disease.
Research can focus on development, maintenance and operation of optical imaging systems and image reconstruction algorithms, developing and designing animal and human protocols, performing preclinical imaging studies, and conducting clinical studies for image guided surgery and diagnostics.
This is an exciting opportunity to work in clinical and preclinical fluorescence molecular imaging, which combines the use of cutting edge imaging technology, recent advances in our understanding of the molecular underpinnings of disease and advances in development of molecular probes to target disease pathology in vivo.
Matching Summary
The fellow will specifically work on novel time domain (fluorescence lifetime-based) optical imaging technologies for clinical and preclinical applications in cancer, neuropathology, and cardiac disease.
Skills & Requirements
Must-have
Fluorescence lifetime-based optical imaging
Clinical and preclinical applications
Cancer, neuropathology, and cardiac disease research
Optical imaging systems development
Image reconstruction algorithms development
Preclinical imaging studies
Clinical studies for image guided surgery
Nice-to-have
Independent thinking and strong interest in advancing biomedical science
Proficiency in C/C++/Matlab programming
Experience with animal models of disease
Experience with translational studies in humans
Regulatory experience
Key Requirements
PhD/MD required
PhD/MD in Biomedical Engineering or related fields preferred
Previous experience in experimental optics
Previous experience in imaging
Previous experience in computational physics programming
Previous experience in animal models of disease
Previous experience in clinical and/or animal protocols
Previous experience in translational studies in humans