Sort by
Refine Your Search
-
Listed
-
Employer
- Cornell University
- University of North Carolina at Chapel Hill
- University of Minnesota
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Virginia Tech
- Eli Lilly and Company
- George Washington University
- New York University
- Rutgers University
- SUNY University at Buffalo
- The University of Arizona
- University of California, Merced
- University of Idaho
- University of Nevada Las Vegas
- University of Texas at Arlington
- University of Utah
- University of Washington
- Villanova University
- 9 more »
- « less
-
Field
-
. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
-
provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
-
. The postdoc will apply and optimize new approaches for NGS library preparation and analyze genomic data for variant calling. We value diversity of backgrounds in our team and seek candidates who can commit to a
-
and optimize the in-process conjugation workflow. Collaborate with the Bioconjugation group to investigate conjugation efficiency and product quality attributes. Collaborate with Analytical teams
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
underlying cancer disparities and drivers. Opportunities available to T32 Postdoctoral Fellows - Mentoring by faculty with extramurally funded cancer control research programs - Networking with other post
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
underlying cancer disparities and drivers. Opportunities available to T32 Postdoctoral Fellows - Mentoring by faculty with extramurally funded cancer control research programs - Networking with other post
-
benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a
-
. Apply deep learning approaches to support optimization of segmentation methods for clinical neuroimaging datasets. Investigate developmental differences in infant brain functional networks. Support
-
. 2. Personalized prognostic models of time to loss of independence. 3. Identification of characteristics associated with ATT initiation to optimize referral pathways. 4. Real-world ATT outcomes
-
of improving human health. Aligned with Rutgers University–New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus