Sort by
Refine Your Search
-
analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
-
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
-
We have an exciting opportunity for a Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer to join the multidisciplinary GO-PRECISE colorectal precancer
-
candidate will be part of a research group with responsibility for carrying out research in Modelling, Simulation, and Analysis of Interacting particle systems and related fields as part of the Royal Society
-
We are seeking a full-time Postdoctoral Research Assistant to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering, Headington. The post is funded by the BRC4 Imaging Theme and is fixed-term until 31 March 2026, with...
-
of human musculoskeletal tissues and undertake computational analysis of multi-omic datasets of human musculoskeletal tissues. You will be adapting existing and developing new experimental protocols
-
interdisciplinary team working at the intersection between chromosome biology, flow cytometry, microfluidics and molecular/epigenetic analysis. The group’s current work focuses on determining the repertoire and role
-
should have a PhD (or close to completion) in Physics, Planetary Sciences or Earth Sciences. It will be an advantage to have experience in remote sensing, analysis of thermal data, thermal modelling
-
opportunities at departmental and University level. The work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly
-
focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with