Computational CryoET: AI, UI & HPC-Powered Research

A PhD opportunity is available at the intersection of high-performance computing (HPC), data science, and cryo-electron tomography (cryoET). This interdisciplinary project integrates structural biology, computer science, and AI/ML to develop tools for 2D and 3D image processing and analysis.

The project focuses on axoneme structures from Primary Ciliary Dyskinesia (PCD) patient-derived cell lines. The candidate will have access to state-of-the-art cryoEM facilities, including a Titan Krios microscope, a GPU-based computational cluster, and national HPC resources.

Ideal candidates should have strong Python programming skills and enthusiasm for AI/ML in biomedical science. Experience in image processing is beneficial but not required; wet lab experience is desirable but not essential.

This PhD offers excellent career development opportunities, including training in cutting-edge AI and computational techniques, collaborations with leading researchers, and potential for high-impact publications. Graduates will be well-positioned for careers in academia, biotech, or AI-driven healthcare industries. We encourage interested candidates to get in touch and apply.

To apply please refer to our web page https://le.ac.uk/study/research-degrees/funded-opportunities/liscb

Enquiries to Dr TJ Ragan [email protected]