57 quantum-computing "https:" "https:" "https:" "U.S" positions at Swansea University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Large-scale wind turbines, specifically
-
working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
-
2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk
-
working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
-
working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
-
working 14 hours a week. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies
-
post-quantum cryptography. The simulation of these case studies will enable the validation of their cyber resilience properties by employing appropriate AI approaches such as reinforcement learning
-
excited state levels in molecular semiconductors dictate the photophysics in optoelectronic, photonic and quantum technologies. The researcher will advance our work on singlet-triplet and doublet emitters
-
(unaffected) services. One trigger of such updates is the need to replace cryptosystems by quantum-safe ones, a change that, e.g., NCSC encourages to carry out from 2028 onwards. You will be developing a SysML
-
Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most