10 parallel-computing-"Computer-Vision-Center" Postdoctoral positions at King's College London
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Skip to main content Postdoctoral Researcher in Human-Computer Interaction Job id: 158027. Salary: £51,174 per annum, including London Weighting Allowance. Posted: 16 September 2026. Closing date: 07
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subject area, such as theoretical physics, computational physics, quantum information, quantum computing, applied mathematics, computer science or a closely related discipline. Candidates who have
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September 2026. Closing date: 18 October 2026. Business unit: Faculty of Life Sciences & Medicine. Department: Res Dept of Biomedical Computing. Contact details: Dr Sarah Morgan. [email protected]
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) Experience in preparing neurons and glial cells for in situ cryo-ET Experience in filament processing in Relion, Cryosparc and cryo-ET/STA software/pipelines. General proficiency in computing, including an
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criteria PhD qualified in relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and
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He (KCL computer science) and her NLP group. The post is central to the NAVIGATE research programme, which investigates how different modes of AI uncertainty expression affect the quality of human
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university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and to realising our vision of making the world a better place
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world-leading research. We are dedicated to driving positive and sustainable change in society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for
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international equivalent) in a highly quantitative discipline like Biomedical Engineering, Computer Science, Mathematics, or Physics Meet all mandatory MSCA mobility rules - applicants must not have lived
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following skills and experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of semantic technologies such as knowledge graphs, ontologies, data