Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SUNY University at Buffalo
- Brookhaven Lab
- California Institute of Technology
- Cornell University
- Duke University
- Harvard University
- University of California
- University of California Davis
- University of California, Merced
- University of California, San Diego
- University of Colorado
- University of Pennsylvania
- University of Utah
- Argonne
- Brookhaven National Laboratory
- Career Education Corporation
- Colorado State University
- Colorado Technical University
- George Mason University
- Hofstra University
- Indiana University
- Lawrence Berkeley National Laboratory
- Meta/Facebook
- NIST
- Northeastern University
- Rutgers University
- The University of Arizona
- The University of Chicago
- University of Delaware
- University of Florida
- University of Massachusetts
- University of Massachusetts Boston
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Washington
- University of Wisconsin-Madison
- Washington University in St. Louis
- Yale University
- 28 more »
- « less
-
Field
-
simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
-
with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field, demonstrated through education or
-
exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
-
based on MPI. Experience working with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field
-
clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
-
working with high performance computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to work independently and
-
laboratory at LHO. In parallel, the chosen candidate will assist in forging results of this R&D into a conceptual reference design, construction plan, and parametric cost estimate for CE. These will form
-
detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software Experience in parallel programming and
-
, United States of America Subject Area: Computer Science / All areas Appl Deadline: (posted 2024/11/02, listed until 2025/05/02) Position Description: Apply 2025/05/02 11:59PM Position Description The AI and Systems Co
-
field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP