14 post-doc-image-engineering-computer-vision Postdoctoral positions at University of Southern California
-
: Ph.D. in Electrical Engineering, Applied Mathematics, Biomedical Engineering, Mechanical Engineering or related fields. Preferred Experience: Experience in MRI and post-imaging processing Preferred Field
-
The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu ) are world leaders in the development of advanced computational and
-
Excellence in Nano Imaging (CNI). Cryo-EM resources include: 1. Thermo Scientific Titan Krios G3i equipped with a GIF Quantum energy filter and K3 detector 2. Thermo Scientific Glacios equipped with a Falcon 4
-
collaborative program of research, education, information dissemination and technology transfer organized around three topical focus areas: 1) Integrated management of freight and passenger systems, 2
-
/ ) at the Keck School of Medicine. The research project will involve the use of in vivo electrophysiology, acoustical measurements, and optical imaging techniques (Optical Coherence Tomography) to assess hearing
-
Report). Under the leadership of Dean Yannis C. Yortsos, the school helped re-imagine the 21st century engineer, pioneering the Grand Challenge Scholars Program in schools across the globe. Our mission is
-
USC’s Information Sciences Institute (ISI), a unit of the university’s Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence
-
science, engineering, biophysics, applied mathematics, or related field. Computer programming expertise (e.g., Python, Matlab, or TensorFlow) is required. Strong interest in neurodegenerative diseases, neurogenomics
-
The Center for Empowered Learning and Development with Technology (CELDTech) is looking for a postdoctoral research scholar to start August 1, 2024. The successful candidate will work on the
-
populations. In this position, we are looking for a postdoctoral researcher with strong computational background for method development in population and statistical genetics. The position is funded by an NIH