25 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" research jobs at Forschungszentrum Jülich
Sort by
Refine Your Search
-
deploy integrated methodologies at the cross-section of battery and quantum technologies. Quantum computing bears tremendous potential in the simulation of interactions and reactive processes in materials
-
Your Job: Investigate the potential of novel computing architectures for lattice field theory workloads Contribute to the design and implementation of an open-source lattice field theory framework
-
publish in peer-reviewed journals Your Profile: Master and preferable subsequent PhD in computer science, natural sciences, mathematics, or a related field, with a strong scientific record documented
-
, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in psychology, cognitive science or in a similar field of study Research experience in the areas of crowds
-
candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug
-
part of an international and interdisciplinary working environment with access to outstanding computing facilities and connections to the best research institutions around the world Opportunity
-
) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
-
simulations of air pollution recently developed in the Modular Earth Submodel System (MESSy). In this framework the role of black and brown carbon for land-atmosphere and aerosol-cloud interactions will be
-
process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
-
-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