Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- King's College London
- Heriot Watt University
- University of Cambridge
- University of London
- Nature Careers
- University of Liverpool
- Medical Research Council
- DURHAM UNIVERSITY
- Royal College of Art
- University of Birmingham
- University of Nottingham
- University of Oxford;
- University of Sheffield
- ; University of Copenhagen
- AALTO UNIVERSITY
- Aston University
- Heriot-Watt University;
- Imperial College London
- John Innes Centre
- Oxford Brookes University
- Royal College of Art;
- Sheffield Hallam University
- St George's University of London
- Swansea University
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Glasgow
- University of Southern Denmark
- 22 more »
- « less
-
Field
-
and temperature on overall mechanical response, and will have the opportunity to field high-speed imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and
-
imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and level of detail extracted from these experiments. As part of this role, you will work closely with other
-
ultrasound, Liposome drug delivery systems, in vivo imaging techniques, such magnetic resonance imaging (MRI) and near-infrared fluorescence (NIRF)/luminescence imaging. The candidate should have suitable
-
About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
-
The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
-
The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
-
will analyse quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You
-
spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
-
for Disaster Reduction), UAL’s CRiSAP (Creative Research into Sound Arts Practice), and other partners. By drawing connections between historical and contemporary images, texts, and sounds from both risk