Sort by
Refine Your Search
-
Country
-
Employer
- Oak Ridge National Laboratory
- University of Luxembourg
- University of Washington
- ;
- Aarhus University
- Blekinge Institute of Technology
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Hereon
- Institutionen för biologi och miljövetenskap
- Iowa State University
- Lunds universitet
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Queen Mary University of London
- Queen Mary University of London;
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- University of California
- University of Lund
- University of Oulu
- University of Vaasa
- Université de Strasbourg
- Virginia Tech
- Washington University in St. Louis
- 14 more »
- « less
-
Field
-
frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
-
field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
-
Datasphere4Trust project focusing on the design, development and deployment of a distributed and adaptive policy framework to enhance trust and security across federated data space networks. This project is part of
-
metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
-
methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
-
DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
that enhance the reliability, efficiency, and resilience of electric power distribution networks. Required Minimum Qualifications : PhD in Electrical Engineering Preferred Qualifications: Demonstrated research
-
, or be nearing completion of, a PhD in Computer Science or a cognate field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical
-
of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data