Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Princeton University
- University of Oslo
- UiT The Arctic University of Norway
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- FCiências.ID
- Humboldt-Universität zu Berlin
- INESC ID
- Lawrence Berkeley National Laboratory
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Manchester Metropolitan University
- Nanyang Technological University
- National University of Singapore
- Paul Scherrer Institut Villigen
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Arkansas
- Université Catholique de Louvain (UCL)
- 8 more »
- « less
-
Field
-
. Ubuntu) is essential.. Knowledge of GPU computing, CUDA programming, model optimization, and industry experience in engineering software development would be an advantage. Excellent written and oral
-
part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
-
made at the Postdoctoral Research Associate rank. The AI Postdoctoral Research Fellow will have access to the AI Lab GPU cluster (300 H100s). Candidates should have recently received or be about to
-
Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days ago
Program conducts regulatory science research to ensure safe and effective interoperable medical devices, including wearable technology and systems of devices in the home and integrated clinical environments
-
thick and strongly scattering samples. Experience in high-performance computing, parallel programming, or GPU-accelerated computation for large-scale 3D reconstruction. Experience applying machine
-
GPU acceleration, cloud computing, and distributed architectures, to enable efficient analysis of large-scale video datasets. Collaborate with clinical and academic collaborators, external partners
-
qualifications Experience with high-order or nonlinear scattering reconstruction methods for imaging thick and strongly scattering samples. Experience in high-performance computing, parallel programming, or GPU
-
Week 41.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 4403-26147 Is the Job related to staff position within a Research Infrastructure? No
-
modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
-
Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer