Sort by
Refine Your Search
-
Listed
-
Employer
- Brookhaven National Laboratory
- University of Miami
- Oak Ridge National Laboratory
- SUNY Polytechnic Institute
- Cornell University
- Loyola University
- University of North Carolina at Chapel Hill
- University of Washington
- New York University
- Rutgers University
- University of Maryland, Baltimore
- University of Minnesota
- Washington University in St. Louis
- Argonne
- Carnegie Mellon University
- Duke University
- Lawrence Berkeley National Laboratory
- Nature Careers
- Stony Brook University
- Texas A&m Engineering
- The Ohio State University
- The University of Iowa
- University of Nebraska Medical Center
- University of Oregon
- University of Texas at Arlington
- Indiana University
- LIGO Laboratory
- Massachusetts Institute of Technology
- Michigan State University
- Saint Louis University
- Stanford University
- University of California
- University of California, Los Angeles
- University of Central Florida
- University of Florida
- University of Nevada Las Vegas
- University of New Hampshire – Main Campus
- University of North Texas at Dallas
- University of South Carolina
- Washington State University
- Zintellect
- 31 more »
- « less
-
Field
-
with cardiovascular or fetal imaging data. • Knowledge of machine learning model development, validation, and clinical translation. • Experience working with DICOM data, PACS systems, and 3D
-
closely related field Required Qualifications: - Experience in spectral CT and uantitative imaging including radiomics, machine learning, deep learning or artificial intelligence as applied to radiology
-
dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
-
process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
-
: Catherine Hartley) at New York University seeks a Postdoctoral Associate to work on neuroimaging and behavioral studies examining learning, memory and decision-making across development. NYU offers
-
and enthusiastic individual who meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related
-
reconstruction and tracking performance evaluation Knowledge and programming experience in scientific Machine Learning Working knowledge of large-scale data processing Programming experience in C++, ROOT, and
-
publication record in sensing systems, mobile health, or HCI. Experience with signal processing, machine learning, or embedded systems is a plus. Carnegie Mellon University is an equal opportunity employer. It
-
Internal Number: JR93871 Position Summary Postdoctoral Research Associate in the Dai Laboratory supports the faculty investigator by assisting with the design and prototype devices and equipment to support
-
: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Electrical and Computer Engineering / Engineering Physics , Quantum Engineering , Machine Learning Appl Deadline: 2026/10/01 04