80 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions at KINGS COLLEGE LONDON
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, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
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Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and
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opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across research groups, with departmental hubs and with other Departments in the Faculty
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information about the Department of Informatics at King’s, please see https://www.kcl.ac.uk/informatics/about This is a Full-time post (35 hours per week), and you will be offered a fixed term contract for 1
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to the Cybersecurity (CSY) group, where our work on cryptography sits, and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research ). Research collaboration across
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United Kingdom Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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- 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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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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and will have the opportunity to contribute to cross-cutting hubs (see https://www.kcl.ac.uk/informatics/research/groups ). Research collaboration across research groups, with departmental hubs and with