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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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civil servants to access research and learning opportunities. The project will help make Policy to Research (P2R) offerings more visible, accessible and connected. The postholder will play a central role
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, with a particular focus on identifying and characterizing rare endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle
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employment. Starting date: 09.04.2026 Job description:PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 987 - 2026/WP 1 Work location: Hamburg Application deadline
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that aims to redesign how students learn programming through AI-driven, dialogue based, and pedagogically grounded tools. The PhD candidate will contribute to a cross-faculty collaboration spanning the TECH
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fields ranging from materials science and biology to cultural heritage and forensics. Standard high-quality imaging requires a full 180 or 360-degree rotation of an object to acquire a massive number of
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multiple departments within the University of Cambridge as well as the collaborating organisations (RSBP, NIAB and UKCEH). The role holder will investigate machine-learning approaches that advance the core
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Description NOTICE OF ONE PhD Research studentship, for the project “LEARNING BOLSTER”, (2023.17516.ICDT), AT THE CENTER FOR PSYCHOLOGY OF THE UNIVERSITY OF PORTO (CPUP) IN THE FACULTY OF PSYCHOLOGY AND
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Investigator, this role is part of a leading AI research group specialising in reinforcement learning and intelligent systems. The team is focused on producing world-class research while collaborating with
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across