Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- European Space Agency
- Florida Atlantic University
- UNIVERSITY OF HELSINKI
- University of Helsinki
- AALTO UNIVERSITY
- Aalto University
- Chalmers University of Technology
- King Abdullah University of Science and Technology
- Lawrence Livermore National Laboratory
- Michigan State University
- National University of Singapore
- New England HERC
- Northeastern University
- Stanford University
- The University of Iowa
- UNIVERSITY OF SOUTHAMPTON
- University of Lund
- University of North Carolina at Chapel Hill
- University of Southampton
- University of Texas Rio Grande Valley
- University of Texas at Tyler
- University of Washington
- 13 more »
- « less
-
Field
-
: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling, representational analysis, or
-
-time inference within rendering pipelines Minimum Qualifications: • Ph.D. in Computer Science, Visual Computing, Interactive Media, or related field • Strong C++ and/or C# programming expertise
-
, high-performance computing, distributed computing, or large-scale workflow management. Experience developing reconstruction, simulation, or detector calibration software. Familiarity with modern machine
-
excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
-
infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
-
career taken into consideration. Additionally, your resume must comprise: A PhD or equivalent Research experience in Software Engineering, Distributed Software Systems, Edge and Cloud Computing A
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
learning, large language models, or reinforcement learning. Familiarity with high-performance computing environments (e.g., GPUs, distributed training). Experience mentoring graduate or undergraduate
-
Job Description Do you want to contribute to the green energy transition? Are you excited about developing intelligent power electronic converters and drives with AI and edge computing technologies
-
, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud). An interest in learning