Sort by
Refine Your Search
-
Country
-
Employer
- Argonne
- Oak Ridge National Laboratory
- Stanford University
- Harvard University
- University of Washington
- Princeton University
- University of Luxembourg
- Cornell University
- UNIVERSITY OF HELSINKI
- University of North Texas at Dallas
- Baylor College of Medicine
- DURHAM UNIVERSITY
- Duke University
- Durham University
- Ghent University
- Iowa State University
- Lunds universitet
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Max Planck Institute for Extraterrestrial Physics, Garching
- McGill University
- Michigan Technological University
- Purdue University
- Texas A&M University
- The University of Arizona
- University of Arkansas
- University of California
- University of California, Los Angeles
- University of Florida
- University of Miami
- University of Oxford
- 20 more »
- « less
-
Field
-
platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise. The researcher will
-
of unstructured clinical and biomedical data. 4. Experience with cloud-based and high-performance computing environments to support scalable data processing and model development. 5. Proficiency in Python and
-
optical links are more secure that radio links where signal diverges over a large area, and can be further secured by Quantum Encryption techniques. On the other hand, optical links are affected by clouds
-
quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
-
, or network-based modeling of infrastructure or industrial systems. Familiarity with high-performance computing, cloud computing, or parallel computing environments for training models and solving optimization
-
and William Wilcock where they will have access to in-house petascale computing facilities and cloud computing allocations. They will interact widely with all the participants in the project and have
-
transportation agencies (city DOTs, state DOTs) or private vendors. · Familiarity with reproducible research practices, CI/CD for ML, and cloud computing (AWS/GCP/Azure). · Experience or interest
-
computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
-
at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
-
Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This