Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- King's College London
- Queen Mary University of London
- Queen Mary University of London;
- Durham University
- University of Liverpool
- University of Oxford;
- AALTO UNIVERSITY
- University of London
- University of Manchester
- DURHAM UNIVERSITY
- Durham University;
- Heriot Watt University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Francis Crick Institute
- The Rosalind Franklin Institute
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Liverpool;
- University of Nottingham
- University of Sheffield
- Xi'an Jiaotong - Liverpool University
- 14 more »
- « less
-
Field
-
machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
-
. The candidate will be expected to carry out experiments that support the objectives of the research project, such as generating primary neuronal cultures, conducting high-resolution imaging, and performing
-
of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
-
. Excellent communication, team working, and organisational skills are essential. Experience using state-of-the-art imaging software, image processing using Matlab or similar image processing platforms is
-
males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
-
the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
-
males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
-
, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
-
within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization
-
, electrical polarisation and, then evaluate cell-matrix interactions using live-cell imaging, molecular assays and, spatial transcriptomic approaches to identify key mechanisms linking matrix mechanics