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Field
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approaches to host/pathogen interactions, cell signalling and comparative immunology of zoonotic infections. The applicant should have a track record of research in computational biology with experience with
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third
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biology, or similar field Experience analysing medical images and working with data Strong programming skills in R or Python Good communication skills and ability to work in a team Ideally, you would also
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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. Essential Qualifications Minimum Candidates must have: Applicants should have a minimum 2.2 Honours degree in Electronic engineering, Computer science or in a related discipline. It is essential
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. Funds are available for travel during the post if required. About The Role We
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18 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Language sciences Literature Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country