Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Materials Science
- Science
- Business
- Environment
- Mathematics
- Chemistry
- Earth Sciences
- Psychology
- Arts and Literature
- Linguistics
- Electrical Engineering
- Humanities
- Law
- Physics
- Social Sciences
- Education
- Sports and Recreation
- 12 more »
- « less
-
environment, regulatory obligations, and project requirements. This position operates in parallel with the existing IT, research, and administrative structures at participating institutions. It is designed
-
optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
-
of simulation results to inform decision-making processes. • Work with other team members to convert code developed in R into Python and Julia. • Collaborate with cross-functional teams, including data scientists
-
, computer graphics, computer science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing
-
science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing, social computing, software engineering
-
, Computer Science, Engineering, Statistics or Data Science or other relevant discipline 3 years of experience in designing and developing scientific computing software Experience in high-performance parallel
-
Department GENERAL DESCRIPTION Conduct further research on the NSF funded project “Enabling Extremely Fine-grained Parallelism on Modern Many-core Architectures”. Benefits Our commitment to employee well-being
-
computing architecture and/or system software such as massively parallel computing, big data infrastructure, large-scale data system, or system software in general has been considered as important
-
Patient Scheduling and Processing Reviews referral work queues daily, documenting activities within the referral record. Serves as the primary contact for referring physicians and new patients. Manages
-
and impacts of UK and Northwestern Europe's atmospheric circulation processes. The results of these models will be compared with parallel experiments carried out using Global Climate Models by the other