Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- SUNY University at Buffalo
- Stanford University
- Oak Ridge National Laboratory
- Brookhaven Lab
- University of Minnesota
- Duke University
- Nature Careers
- The Ohio State University
- Carnegie Mellon University
- Princeton University
- The University of Arizona
- AbbVie
- Cornell University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- New York University
- Rutgers University
- University of Arkansas
- University of Cincinnati
- University of Kansas
- University of Minnesota Twin Cities
- Northeastern University
- Texas A&M University
- The University of Iowa
- University of Colorado
- University of Delaware
- University of Illinois - Chicago
- University of St. Thomas
- University of Washington
- Baylor College of Medicine
- Brookhaven National Laboratory
- Case Western Reserve University
- Cold Spring Harbor Laboratory
- Delaware State University
- Indiana University
- Johns Hopkins University
- Los Alamos National Laboratory
- Medical College of Wisconsin
- Rochester Institute of Technology
- Texas A&M AgriLife
- The University of Chicago
- University at Buffalo
- University of California, Merced
- University of Florida
- University of Houston Central Campus
- University of Kansas Medical Center
- University of Massachusetts
- University of New Hampshire
- University of Oregon
- University of Texas at Arlington
- University of Utah
- University of Virginia
- Virginia Tech
- Washington University in St. Louis
- William and Mary
- Yale University
- 48 more »
- « less
-
Field
-
conferences (20%) Qualifications Required Qualifications: - A B.S. degree related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
protocols of interest are 61, 62 (bioburden testing), 71 (sterility testing), and 85 (bacterial endotoxin testing). The researchers will be asked to optimize lab-specific protocols and run the protocols at a
-
extended to 2 years. The primary focus of this research will be focused on optimization of multimodal treatment of pancreatic cancer (clinical outcome research). In this role, you will be expected to work
-
to optimize lab-specific protocols and run the protocols at a larger scale for prototype testing. The candidate is also expected to perform the biological testing detailed in the aforementioned protocols in
-
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 EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
-
abstraction, and (2) examining how neural replay?the spontaneous reactivation of learned neural patterns?supports human continual learning by optimizing task representations offline and guiding decision-making
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
-
representation learning, and real-world data modeling to stratify risk and optimize MHT formulations. The candidate must thrive in a multidisciplinary, fast-paced research environment and work independently and