Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Columbia University
- Cranfield University
- Vrije Universiteit Brussel
- ;
- ; Newcastle University
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Birmingham
- ; University of Oxford
- Charité - Universitätsmedizin Berlin •
- DAAD
- Ecole Polytechnique Federale de Lausanne
- Harper Adams University
- Institut Pasteur
- Linköping University
- Monash University
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- RMIT University
- SciLifeLab
- Technical University of Munich
- The University of Chicago
- University of Bonn •
- University of Cambridge
- University of Copenhagen
- University of Groningen
- University of Luxembourg
- University of Oslo
- University of Tübingen
- 21 more »
- « less
-
Field
-
research projects. In parallel, they participate in the comprehensive BIGS DrugS education programme, which includes workshops, lectures, colloquia and symposia. Mentoring is performed by two experienced
-
the cerebral cortex. fUS ultrasound waves are similar to CUS but using novel image reconstruction techniques and parallel computing technologies reaching 10,000 frames per second, enables very sensitive mapping
-
-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
-
government’s Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the
-
, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and Optimisation Group
-
13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed