Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- Durham University
- Heriot Watt University
- Nature Careers
- King's College London
- DURHAM UNIVERSITY
- The University of Edinburgh;
- University of Cambridge
- University of London
- University of Oxford;
- ; University of Copenhagen
- AALTO UNIVERSITY
- Aston University
- Durham University;
- Heriot-Watt University;
- Imperial College London
- John Innes Centre
- Medical Research Council
- Northumbria University;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- Swansea University
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter;
- University of Glasgow
- University of Leeds
- University of Liverpool
- University of Nottingham
- University of Nottingham;
- University of Reading
- University of York;
- 28 more »
- « less
-
Field
-
to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short
-
, through to experimental plans and analysis of actual data (laboratory and potentially field) regarding prototype strains embodying these concepts. The successful candidate will help develop theoretical
-
, or a related discipline, and must have a strong research track record, experience with cell culture model systems, proficiency in flow cytometry, confocal microscopy or other advanced imaging techniques
-
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
-
used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
-
reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel
-
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
-
have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, integrative
-
have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, integrative
-
. Our community of world-renowned researchers and educators have access to state-of-the art core facilities and expertise, including facilities for high-throughput screening and high content imaging