Sort by
Refine Your Search
-
Country
-
Employer
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Institute of Nuclear Physics Polish Academy of Sciences
- Nature Careers
- ;
- ; Ecole polytechnique federale de Lausanne - EPFL
- ETH Zurich
- EURAC
- LIST - Luxembourg Institute of Science and Technology
- Luxembourg Institute of Science of Technology
- Purdue University
- University of Minnesota
- University of Newcastle
- University of Oslo
- 3 more »
- « less
-
Field
-
funded 3-4 year PhD position at ETH Zurich. Opportunity to directly linking simulations with unique experimental data from intentional cloud perturbations. Access to high-performance computing resources
-
), including SQL and NoSQL databases, to store and manage data efficiently Cloud Computing and APIs: Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
between the (relatively few) models of early contrail development which operate at the plume scale, regional- to global-scale models of the cloud response, and real-world observations of both. The lack of a
-
and their CI/CD integrations, providing well-structured code and documentation Experience in working with cloud, HPC or cluster compute resources including working in a Linux environment and command
-
evaluation form. Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software
-
of telecommunications, AI and cloud computing technologies. Key Responsibilities: Use of ML to handle resilience and fail over in 6G architectures Design and develop robust network slicing in 6G architectures
-
appetite becomes increasingly ravenous in powering the modern information age. The energy driving artificial intelligence, cloud computing, and data centers will utilize 15% of TOTAL world production by 2040
-
, Electrical Engineering, computer science, or closely related fields, and should have the competencies of R1 category. Other skills that are valuable, but not mandatory are: Edge-cloud infrastructure management