Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- DePaul University
- Oak Ridge National Laboratory
- University of Central Florida
- University of North Carolina at Chapel Hill
- Argonne
- SUNY University at Buffalo
- Stony Brook University
- Duke University
- Indiana University
- Los Alamos National Laboratory
- Pennsylvania State University
- Texas A&M University
- University of Massachusetts
- University of Texas at Arlington
- University of Virginia
- University of Washington
- 7 more »
- « less
-
Field
-
Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
-
Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
-
enhance modern microscopic imaging techniques. Designing setting up and executing the experiments Developing relevant algorithms for experimental data post-processing Mentor and work closely with multiple
-
conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
-
University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
-
prioritize multiple tasks and projects in a fast-paced office environment, meeting deadlines and project requirements. Excellent verbal and written communication skills. Excellent project management and
-
learning algorithms into professional software with an intuitive user interface, incorporating feedback from CHWs through iterative design and evaluation cycles. The selected candidate will be part of a
-
will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
-
and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies
-
the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure