Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
professional image. You will effectively manage a small team to undertake a range of reception and related admin duties, including responding to telephone and email enquiries, greeting visitors, taking meeting
-
-disciplinary team of clinicians, radiographers, nurses and physicists spanning both the University of Oxford and NHS Departments. The successful candidate will have the opportunity to work on exciting prototype
-
deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
-
silicon facility in central Oxford, working on radiation imaging silicon detectors, primarily for Particle Physics, such as the ATLAS experiment at CERN. This will involve managing the interconnect work
-
into Digital Bodleian, including images of rare books and manuscripts, maps and modern archival items. You will use online information sources and printed catalogues to source and check bibliographic metadata
-
clinical data, human tissue and medical imaging to support research scientists across the Medical Sciences Division. The position will support our ambitions to give patients an opportunity to take part in
-
force behind the most exciting recent technological advances, having its impact on fields as diverse as medical imaging, conversational agents, astronomy, and many more. The Oxford Applied and Theoretical
-
this post you will use specialist scientific technologies (multicolour flow cytometry, advanced 3D imaging, lung function equipment) in a laboratory environment and software (FlowJo, Fiji, Imaris) to collect
-
reticulum, lysosomes, and peroxisomes in orchestrating these processes. You’ll have the opportunity to deploy a wide range of advanced techniques, including confocal microscopy, live-cell imaging
-
medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated against existing imaging data. The group’s long-term vision is to impact