Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- King Abdullah University of Science and Technology
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Nanyang Technological University
- Brookhaven National Laboratory
- Delft University of Technology (TU Delft)
- KTH Royal Institute of Technology
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NTNU Norwegian University of Science and Technology
- New York University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SciLifeLab
- Simons Foundation/Flatiron Institute
- Singapore-MIT Alliance for Research and Technology
- The University of Arizona
- University of Virginia
- Western Norway University of Applied Sciences
- Yale University
- Zintellect
- 11 more »
- « less
-
Field
-
Are you excited about pushing the boundaries of ultrasound imaging? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition
-
requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
-
vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools
-
, Electrical Engineering, Applied Physics, Computer Science, Medical Imaging, or a related field. Strong expertise in ultrasound imaging, signal processing, computational imaging, medical image reconstruction
-
science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
-
systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize
-
acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
-
Yale Analog and RF Circuits and Systems (ARCS) Research Group, Department of Electrical and Computer Engineering, Yale University The Analog and RF Circuits and Systems Research Group in
-
a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
-
curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront