糖心TV

Are you passionate about AI, computational pathology, and biomedical image analysis? The TIA Centre at 糖心TV is inviting applications for PhD positions starting in the academic year 2026/27.

The TIA Centre is a leading research hub focused on AI-driven tissue image analysis, enabling breakthroughs in cancer diagnosis, digital pathology, and translational medicine. Our researchers have pioneered deep learning models for cancer detection, won various international challenge competitions in computational pathology, and received recognition at top medical imaging conferences such as MICCAI and ISBI. TIA鈥檚 strong partnerships with the NHS and industry ensure that our research has real-world clinical impact. As a PhD student, you will join a vibrant, interdisciplinary world-leading community of experts, with access to state-of-the-art imaging and computing facilities, global collaborations, and opportunities to publish in leading journals. A limited number of studentships may be available for exceptional candidates; self-funded and externally funded applicants are also welcome. Read more.

We are delighted to announce that Lucy Fox has been appointed as the new TIA Coordinator. Lucy has experience of working in higher education and has recently submitted her dissertation for a PhD in Sociology, making her particularly well-placed to support PhD students within the centre.

Lucy has said 鈥淚 am delighted to be joining the TIA Centre team and look forward to supporting their critical and cutting-edge work鈥�. Lucy has been appointed initially on a six-month contract.

We鈥檙e excited to share a snapshot of our achievements and activities over the past year at the TIA Centre. From conference organisation to PhD graduations, it鈥檚 been a busy and rewarding period. Take a look at our Year in Numbers here.

Stay connected with the TIA Centre by following us on LinkedIn and YouTube. Our social media channels are your go-to source for the latest updates on our groundbreaking seminar series, recent news, upcoming events and our popular TIA Toolbox. Missed a seminar? Our YouTube channel features recordings of all our sessions, so you can catch up anytime and stay informed. Join our growing community and be part of the conversation.

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We would like to let you know that there are 4 postdoc positions available in our group on the development and optimization of deep learning based algorithms for the analysis of pathology images, with applications to early diagnosis and personalized treatment of cancer.

If you would like to learn more about them, please follow the links: