170 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "Dr" uni jobs at KINGS COLLEGE LONDON
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computer science. The successful candidate will be appointed to the Cybersecurity (CYS) group and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research
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people affected by mental health and neurological conditions through world-class research, education, and training, while also serving our communities locally and globally. https://www.kcl.ac.uk/ioppn
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, including London Weighting Allowance Job ID: 129506 Close Date: 02-Dec-2025 Contact Person: Dr Andrea Serio Contact Details: andrea.serio@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com
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our communities locally and globally. https://www.kcl.ac.uk/ioppn The School of Mental Health & Psychological Sciences (MHaPS) is one of three schools under the IoPPN, comprised of the four departments
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of failure of local-global principles in families of varieties and number fields. It also includes applications of p-adic geometry to the study of Brauer–Manin obstructions and rational points on varieties
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per annum, including London Weighting Allowance Job ID: 132925 Close Date: 30-Jan-2026 Contact Person: Dr Su Morris Contact Details: su.morris@kcl.ac.uk Where to apply Website https
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alumni include British sprinter and world-record holder Dina Asher-Smith, biophysicist Dr. Rosalind Franklin, famous for her work in X-ray spectroscopy, and acclaimed children’s writer Sir Michael Morpurgo
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related to staff position within a Research Infrastructure? No Offer Description About us This is an exciting opportunity to gain and develop research skills. The post-holder will join Dr Tom Pollak’s
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- £43,909 per annum including London Weighting Allowance Job ID: 130825 Close Date: 24-Nov-2025 Contact Person: Jackie Matthew Contact Details : jacqueline.matthew@kcl.ac.uk Where to apply Website https
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-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk