49 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" research jobs at King's College London
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2lS, United Kingdom of Great Britain and Northern Ireland [map ] Subject Areas: High Energy Physics / BSM , BSM new physics , cosmology , Dark Matter , Electroweak Symmetry Breaking , Flavor Physics
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including grade 7. Visit the [Centre for Research Staff Development](https: //www.kcl.ac.uk/research/research-environment/professional-development/centre-for-research-staff-development) for more
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high‑performance computing (HPC) resources, will be embedded within the Net Zero Centre and the King’s institute for AI, and will work alongside experts in computational and experimental chemistry
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imaging programme which includes high resolution functional imaging studies; simultaneous EEG-fMRI studies of infant learning; the development of novel MR imaging methods on a portable ultra-low field
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located with the newly created Research Department of Digital Twins (North Wing of St Thomas’ Hospital), primarily supervised by Dr John Whitaker. The post will benefit from the computational and clinical
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PET, low field and high field MRI), cutting-edge 'omics technologies, a High Throughput Screening facility, AAV manufacturing capabilities, and high-performance computing resources. The ideal candidate
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benefit from access to King’s CREATE high-performance computing cluster, as well as mentoring and professional development opportunities provided by the King’s Centre for Research Staff Development. About
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development scientist to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC CMM researchers with drug discovery
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the supervision of senior members of the BUILD2depot research team, the post holder plays a central role in ensuring the study is conducted to a high scientific and ethical standard. They are responsible
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supports our programme of translational research in inflammatory skin diseases, rare skin disease, and skin cancer including acquisition of carefully phenotyped biosamples to understand disease mechanisms