Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Forschungszentrum Jülich
- University of Washington
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- University of Utah
- ;
- AI4I
- Blekinge Institute of Technology
- CNRS
- Centrale Lille Institut
- Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Faculty of Sciences of the University of Porto
- Inria, the French national research institute for the digital sciences
- LINKS Foundation - Leading Innovation & Knowledge for Society
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- Singapore-MIT Alliance for Research and Technology
- State University of New York University at Albany
- The University of Manchester
- The University of Manchester;
- Tyndall National Institute
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Colorado
- University of Glasgow
- University of Oslo
- University of Pennsylvania
- University of Southern Denmark
- University of Texas at Dallas
- 22 more »
- « less
-
Field
-
software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
-
- Posting may close at any time) Job Summary We are looking for MS and PhD students with experience and interest in state-of-the-art data management technologies, high performance computing, memory management
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
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 graphics, computer science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing
-
parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability
-
programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers
-
, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops
-
schools and the MD/PhD program of the CU School of Medicine. Our faculty and staff are diverse, and gender balanced, with women comprising 50% of our residents, Assistant, Associate and Full Professors