Sort by
Refine Your Search
-
Listed
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- The Ohio State University
- Cornell University
- Princeton University
- University of Washington
- Brookhaven Lab
- Duke University
- Johns Hopkins University
- National Renewable Energy Laboratory NREL
- Nature Careers
- Northeastern University
- SUNY University at Buffalo
- The University of Iowa
- University at Buffalo
- University of Minnesota
- Virginia Tech
- Baylor College of Medicine
- Case Western Reserve University
- Drexel University
- Emory University
- Los Alamos National Laboratory
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- National Aeronautics and Space Administration (NASA)
- The University of Arizona
- University of California, Merced
- University of Chicago
- University of Cincinnati
- University of Delaware
- University of Denver
- University of Florida
- University of Illinois - Chicago
- University of Illinois at Chicago
- University of Miami
- University of Minnesota Twin Cities
- University of Oregon
- University of St. Thomas
- University of Texas at Arlington
- University of Texas at Austin
- University of Virginia
- 33 more »
- « less
-
Field
-
models, with a strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working
-
, multiscale modeling, optimization, topological/geometric data analysis, among others. • Strong programming skills and experience (e.g., Python, R). • (Preferred) Interdisciplinary research experience with
-
: PhD in a scientific field Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable. Why MCW
-
learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
-
, optimization and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods and machine learning
-
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
-
seeking a postdoctoral researcher with expertise in distributed intelligence, reasoning models, LLMs, workflow management, and distributed systems to contribute to the development of advanced decentralized
-
Postdoctoral Research Associate: Drug Development Targeting Neuroinflammation in Alzheimer's Disease
& Responsibilities Work with Principal Investigator and Co-Investigators to develop and execute research projects. Conduct independent research experiments, including data collection and analysis. Test, optimize, and
-
modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department
-
Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious