Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- Durham University
- Heriot Watt University
- University of Cambridge
- University of London
- King's College London
- Nature Careers
- University of Liverpool
- University of Nottingham
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Royal College of Art
- University of Birmingham
- University of Oxford;
- University of Sheffield
- ; University of Copenhagen
- Aston University
- Heriot-Watt University;
- Imperial College London
- John Innes Centre
- Medical Research Council
- Oxford Brookes University
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- St George's University of London
- Swansea University
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter
- University of Glasgow
- University of Nottingham;
- University of Southern Denmark
- 26 more »
- « less
-
Field
-
and assessment of ocular inflammation models, such as intravitreal injections, ocular imaging techniques and flow cytometry. Moreover, applicants will perform a variety of additional procedures such as
-
requirements, relying, for example, on increased granularity and lower material budget. You will play a leading role in evaluating the performances of a number of prototype test structures and stitched sensors
-
developing and applying deep learning models, particularly in areas such as natural language processing (e.g. use of LLMs), computer vision (e.g. CNNs for image classification), and multimodal data integration
-
in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
-
using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights into human biology and may in the future lead to improved
-
, imaging and communication systems and (ii) Leonardo UK, providing application expertise and end-user feedback. The applicant will be expected to work directly with Dr. Yoann Altmann, Prof. Steve McLaughlin
-
soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid chemistry and surface functionalisation
-
Waite and team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses
-
team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses in
-
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