Sort by
Refine Your Search
-
all year round Details Project details: Artificial Intelligence (AI) has been shown to be important in obtaining ‘big data’ from whole slide images (WSI) and offers unique opportunities for automated
-
and neural differentiation of hPSCs, immunocytochemistry/imaging, flow cytometry and qPCR. Excellent interpersonal, written and communication skills, and ability to work to a high standard are also
-
. This project will use state-of-the-art live-cell super resolution microscopy and automated image analysis to both visualise the 3D architecture of keratin networks in epithelial monolayers. You will explore how
-
an understanding of the chemistry, physics, and fluid dynamics of these systems whilst developing novel imaging approaches to study their behaviour. The project will see the student working with academics with a
-
. Characterise the effect of Ect2 depletion on PDAC cell proliferation, division and migration 2. Understand how mechanosensitive signalling regulates Ect2 localisation and activity 3. Image the localisation
-
this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
-
. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
-
the simulated EIS data and that collected from tissue-engineered constructs. Finally, a prototype decision support system dedicated to the EIS based oral cancer diagnosis will be produced based on the machine
-
in normal fibroblasts and CAFs. More specifically, the student will aim to: 1. Image ERK, NF-κB and STAT dynamics in response to the application of multiple growth factors in fibroblasts derived from
-
used in human research.This role is not limited to Sheffield, there is opportunity to travel to London and collaborate with scientists at the Centre for Advanced Biomedical Imaging, UCL and beyond