-
it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
-
experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
-
We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image
-
different modalities of microscopy (widefield, confocal, spinning disc, TIRF, super resolution), Image Processing (e.g., Fiji / ImageJ) and data analysis. • Good communication skills (written and oral
-
exploring B cell migration in the spleen. The successful candidate will have extensive experience in handling and processing live spleens and an established expertise in live imaging of this organ. As a
-
collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
-
with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
-
biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
-
migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a
-
the team and collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters. You must hold a relevant PhD/DPhil (or be near completion), together