Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- Durham University
- King's College London
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Liverpool
- Nature Careers
- Imperial College London
- Medical Research Council
- Swansea University
- University of Manchester
- University of Oxford;
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Copenhagen
- ; University of Dundee
- Aston University
- Birmingham City University
- Heriot-Watt University;
- John Innes Centre
- King's College London;
- Manchester Metropolitan University
- Nanyang Technological University
- Queen Mary University of London
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Essex;
- University of Glasgow
- University of Hull
- University of Leicester
- University of Lincoln
- University of Newcastle
- University of Nottingham
- University of Reading
- University of Sussex
- University of West London
- 37 more »
- « less
-
Field
-
About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
-
morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
-
rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and
-
compartments. The successful candidate will combine cutting-edge in vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research
-
) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in
-
and optimising assays aimed at target validation; principally through immunogenicity assays in animal models. You will also conduct experiments aimed at understanding the tumour-immune microenvironment
-
of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
-
and optimising assays aimed at target validation; principally through immunogenicity assays in animal models. You will also conduct experiments aimed at understanding the tumour-immune microenvironment
-
application. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy
-
cancer progression, immune evasion, and therapeutic resistance. We place a strong emphasis on the use of spatial biological approaches applied to human tumour models including organ/tumour perfusion, slice