Sort by
Refine Your Search
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- Yale University
- Brookhaven National Laboratory
- Delft University of Technology (TU Delft)
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- New York University
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- University of Virginia
- 4 more »
- « less
-
Field
-
tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values
-
also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values candidates with one or more of the following experiences
-
to the application deadline Have a strong grounding in biological systems and a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging
-
a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging data and multimodal datasets combining imaging and molecular
-
records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
-
healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
-
instrumentation. The goal of the project is to design and develop a wearable ultrasonic imager, combined with optical measurements, for monitoring uterus contractions during pregnancy to detect the early signs
-
community at UVA, with active collaborations across the UVA School of Medicine. The lab has full access to UVA's high-performance computing resources and core facilities supporting genomics and imaging
-
any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images