14 computer-algorithm-"Fraunhofer-Gesellschaft" Postdoctoral research jobs at University of California Irvine
Sort by
Refine Your Search
-
Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering
: 6380074 University of California Irvine Postdoctoral Scholars - Advanced Power and Energy Program at The Henry Samueli School of Engineering Position overview Salary range: The salary range
-
new MRI techniques for motion-robust imaging, real-time image processing, and/or deep learning. The work includes MRI pulse sequence design for various MRI techniques and technologies, algorithm and
-
exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
-
full-time program of advanced academic preparation and research training. Qualifications Basic qualifications (required at time of application) A doctoral degree (e.g., Ph.D., M.D.) or the foreign
-
. Preferred Qualifications: Strong background in ultrasound imaging Experience in photoacoustic imaging Strong hands-on skills in medical device development or strong computational skills including signal
-
to provide a full-time program of advanced academic preparation and research training. Department: https://www.anatomy.uci.edu Qualifications Basic qualifications (required at time of application) A doctoral
-
dates intended to provide a full-time program of advanced academic preparation and research training. CV and Cover Letter are required. 003252: POSTDOC-EMPLOYEE 003253: POSTDOC-FELLOW 003254: POSTDOC-PAID
-
leveraging cutting-edge technologies. This position offers an exciting opportunity to develop a research program in tissue biology using state-of-the-art methodologies. The successful candidate will receive
-
research, (ii) computational experiences, (iii) reasons for applying to this job, (iv) future aspirations and (v) whether you want to work a hybrid schedule and how this can be done successfully. Reference
-
national laboratories (LLNL and LANL) and UC campuses to bridge the gaps between understanding fundamental processes and successful field implementation of EGS. The work at UCI requires computational