Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
/Memory Design), Green/Medical Electronics, Sensor Electronics, THz/Quantum Circuits, Si Photonics, Hardware Security/Dependable and Trusted Hardware Architecture •Computer Science and Engineering
-
typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking
-
computational pathology, for example bioinformatics, biomedical engineering, biotechnology, computer science, image/signal processing, medicine, software engineering, statistics or related fields. A solid
-
conferences. Support the preparation of new research proposal initiatives. Where to apply Website https://forms.gle/21i9qWtqW1ap9FeM7 Requirements Research Field Engineering » Mechanical engineering
-
diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
-
Southern University of Science and Technology (Biomedical Engineering) | China, Nuevo León | Mexico | 7 days ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
-
: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker Paravision Micro-CT, optical imaging, photoacoustic imaging, PET
-
, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division
-
Artificial Intelligence, Serious Games and Medical Image Processing, as well as training in Electronics and Computer Engineering during the same period. 11. The ten-year period referred to above may be
-
expertise in artificial intelligence includes demonstrated strength in one or more of the following: machine learning; natural language processing; computer vision and image processing; deep learning