384 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at KINGS COLLEGE LONDON in United Kingdom
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5 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or nearing completion) Good knowledge of computer vision algorithms for image and video
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provides coordinated services for students, staff & partner providers, enabling the delivery of education through managing quality, programme, placement and assessment administration. We provide dedicated
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organised into three Clusters, each of which has dedicated professional services teams. About the role We are looking for a Programme Officer to join our Professional Services team in the Arts Cluster
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London, acting as the main contact for programme queries and providing excellent customer service to prospective applicants, parents, and students. They will play a key role in assisting the Programme
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contacts, providing a professional, supportive, responsive and personable service. Roles support processes within our main workstreams of Assessment and Award, Programme Planning and Delivery and Student
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. Structural biologists at KCL have access to the e-Research/CREATE high-performance computing cluster (HPC) (docs.er.kcl.ac.uk) at King’s and associated research data storage (RDS) managed by e-Research. About
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Application Deadline 11 Sep 2025 - 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 related to staff
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (especially data science, library/information science or digital
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. Structural biologists at KCL have access to the e_Research/CREATE high-performance computing cluster (HPC) (docs.er.kcl.ac.uk) at King’s and associated research data storage (RDS) managed by e-Research. About