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Field
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inversion of gravity gradient data, contribute to the development of data interfaces for multi-modal sensor integration, and perform advanced data processing and inference to support subsurface imaging and
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highly computer literate, with demonstrable experience in using common software applications e.g. MS Word, Excel, Outlook, Adobe Acrobat, and have the ability to learn quickly and use specialist software
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individual and collective wellbeing. Employee support at King’s includes flexible working arrangements, paid maternity/shared parental leave, menopausal support, an active wellbeing programme, training and
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About Us King’s College London is one of the world’s leading universities whose School of Cancer & Pharmaceutical Sciences unites basic, translational and clinical expertise to accelerate progress
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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Understanding of and ability to contribute to broader management/administration processes Contribute to the achievement of research deliverables and milestones associated with the Intelli-Ingest program Co
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for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional
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College and is based in FoLSM’s School of Biomedical Engineering & Imaging Sciences (BMEIS) with cross-faculty collaboration with the Departments of Engineering and Informatics in NMES . AE-PSI’s ambition
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We are seeking an experienced and enthusiastic Cloud Engineer to be based at the Institute of Astronomy (www.ast.cam.ac.uk ) in collaboration with the Research Computing Services (www.hpc.cam.ac.uk
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform