Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Brookhaven Lab
- University of North Carolina at Chapel Hill
- Stanford University
- Argonne
- Stony Brook University
- Loyola University
- New York University
- University of South Carolina
- Carnegie Mellon University
- Duke University
- Medical College of Wisconsin
- Oak Ridge National Laboratory
- Princeton University
- University of Miami
- University of Minnesota
- University of Washington
- Brookhaven National Laboratory
- Michigan Technological University
- Rutgers University
- Texas A&M University
- University of Florida
- University of Nevada Las Vegas
- Yale University
- Case Western Reserve University
- Central State University
- Cornell University
- Harvard University
- Indiana university Indianapolis
- LIGO Laboratory
- Los Alamos National Laboratory
- Nature Careers
- North Carolina A&T State University
- Pennsylvania State University
- Texas A&M AgriLife
- Texas A&m Engineering
- The Ohio State University
- The University of Arizona
- The University of Chicago
- The University of Memphis
- U.S. Department of Energy (DOE)
- University of Central Florida
- University of Colorado
- University of Maryland, Baltimore
- University of Michigan
- University of Nebraska Medical Center
- University of Oklahoma
- University of Oregon
- University of Southern California
- University of Texas at Arlington
- University of Texas at Dallas
- 40 more »
- « less
-
Field
-
-reviewed publications. Prior experience with biological network analysis and practical application of a variety of machine learning and computer vision techniques is preferred. The successful candidate will
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
-
will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
-
data from both tissue and single cells, for improved understanding of Alzheimer progression. Experience in brain disorders, machine learning and deep learning will be a plus. Interested candidates should
-
journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
-
. The appointee will primarily conduct research applying advanced machine learning/AI (including techniques like deep learning) to analyze complex biological and clinical data (e.g., single-cell multi-omics
-
the pre- and post-processing of Magnetic Resonance (MR) images (or utilization of existing brain imaging markers), taking peripheral or central biomarkers, and regressing them against those images using
-
4D flow imaging, proficiency in machine learning applications relevant to neuroimaging, familiarity with fluid dynamics and its application to physiological data, and ultrasound imaging is desired
-
. The processes involved in triggering outbursts, using optical monitoring and the real-time pipeline X-ray Binary New Early Warning System (XB-NEWS) developed at NYUAD, and comparisons to AGN and other compact