26 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Forschungszentrum Jülich
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classical and quantum modeling, quantum algorithms and computation, and battery materials and technology Further development of your personal and interdisciplinary strengths through a range of training
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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
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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
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, 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
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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
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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establishing the institute Writing of third-party funding grants and support thereof Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical engineering, or a related discipline
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) 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
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engineering, or a related discipline Strong background in X-ray methods; experience with synchrotron or neutron methods and/or instrumentation is highly desirable Knowledge of catalysis and energy storage
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-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