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“Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
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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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and share research findings with colleagues in partner institutions, and research groups. You must be working towards a PhD in molecular imaging and experience working with PET imaging. Experience with
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, with fixed nuclei, driven by ultra-short XFEL-pulses; • controlling the interplay of single-photon ionization and Auger-Meitner processes, the coupling of electron and nuclear motion, and imaging
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
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, and must not already hold a PhD/doctoral degree. About the project: Using Magnetic resonance imaging (MRI) we are able to assess how brain regions are connected (structural connectivity) and communicate
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using CRISPR. This will allow for live imaging and pull-downs to enable interactome studies under normal and stressed conditions. Manipulate pathways implicated from the above studies for therapeutic
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Funding provider: Sony CSL - Paris Project start date:Flexible before October 2026 Supervisors (*lead): Aligned programme of study: PhD in Network Science About the Complex Connections Lab
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, inclusive research culture. For 2026 entry, our offering consists of 3 Collaborative Doctoral Awards (CDAs) as detailed below. Application deadline: 30 April 2026 Application process Applications
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We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab at the School of Psychological Sciences at Birkbeck, University of London. This post is attached to a recent