Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- United Kingdom
- Spain
- France
- Portugal
- Sweden
- Austria
- Netherlands
- Italy
- Denmark
- Estonia
- Japan
- United Arab Emirates
- Australia
- Canada
- Czech
- Norway
- Poland
- Switzerland
- Belgium
- Hong Kong
- Latvia
- Luxembourg
- Morocco
- New Zealand
- Saudi Arabia
- Croatia
- Cyprus
- Finland
- Greece
- Ireland
- Israel
- Lithuania
- Singapore
- 25 more »
- « less
-
Program
-
Field
-
Posting Details Posting Details Posting Number S06554P Position Title HPC Research Scientist II Functional Title High Performance Computing Research Scientist II Department High Performance
-
-of-the-art technology, equipment, and/or systems. 11. Assist research groups with migrating or scaling workloads to CARC’s HPC systems or cloud platforms when local resources are insufficient. 12. May be
-
or TensorFlow, and comfortable working with large, complex climate datasets in HPC or cloud environments. Strong quantitative problem-solving and communication skills are also essential. We welcome applications
-
world through science and research by use of computational tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS
-
large datasets and assist in developing cloud and local data storage frameworks High-Performance Computing • Lead the assembly, configuration, and maintenance of a high-performance computing (HPC) system
-
that allow the integration between quantum computing and High-Performance Computing (HPC); Create HPC computing environments; Test the application of HPC to different types of problems in the area of AI, with
-
resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources
-
As soon as possible (Negotiable) Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D125122119&ln_jor=1 Requirements Additional Information Benefits [Compensation] Annual
-
programme Reference Number AE2025-0539 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0539
-
included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will