237 computing-"https:"-"IDAEA-CSIC"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
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- Xi'an Jiaotong - Liverpool University
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contributory pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of
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. This is an exceptional opportunity for a motivated postdoctoral scientist to contribute to a highly innovative Alzheimer’s Research UK-funded programme at the interface of stem-cell biology, neuroimmunology
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scientist to contribute to a highly innovative Alzheimer’s Research UK-funded programme at the interface of stem-cell biology, neuroimmunology, spatial multi-omics and functional neuroscience. The postholder
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the Department of Computer Science at Royal Holloway, University of London. This is a full-time, fixed-term post for one year from September 2026, with some flexibility around the start date. The project seeks
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scientists, software engineers, data managers, and collaborators across the Mahidol Oxford Tropical Medicine Research Unit, and the wider Tropical Network Programme. Wet lab work will not be involved in
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About the Role This postdoctoral position supports a Cancer Research UK-funded research programme investigating epithelial cell heterogeneity during the initiation of pancreatic cancer, with a
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experiments. • Working as part of a wider team and programme of research. • Supporting the dissemination of the research, including contribution to research publications and conference presentations
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Faculty/Directorate Faculty of Engineering, Computing & the Environment School/Function Faculty General (ECE) Contract type Fixed Term Contract Location of vacancy Penrhyn Road The Role We
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focus on building robust, efficient computational workflows. The successful candidate will also engage with the OrthoFinder user community, contributing to issue resolution and ongoing software
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across tissues, over time and upon perturbation for translational benefit, leveraging tissue profiling through multiomic technologies in conjunction with cutting-edge computational and machine learning