Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 12 hours ago
Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-OP-2025-0001 How to Apply Click on Apply below to start your application. Description The U.S. Department of Energy (DOE) Science
-
a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
-
Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
-
computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
-
, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
-
unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
-
, paid parental leave) *401(k) Plan *Flexible Work Arrangements *Tuition Assistance, Training and Professional Development Programs *Employee Fitness/Wellness & Recreation: Gym/Basketball Courts, Weight
-
) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
-
Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
conservation and divergence of these responses between plant species. These discoveries will support the development of new strategies to improve crop traits and performance. Research Setting Alongside
-
) Theoretical Modeling: Develop and refine models for entanglement harvesting using continuous-variable quantum information theory and Gaussian quantum states steering. (2) Experimental Simulation: Simulate