Sort by
Refine Your Search
-
Country
-
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;
- University College Cork
- University of London
- University of Manchester
- AALTO UNIVERSITY
- Aarhus University
- Heriot Watt University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- The Rosalind Franklin Institute
- UNIVERSITY OF VIENNA
- University College Dublin
- University of Glasgow
- University of Liverpool;
- University of Nottingham
- 10 more »
- « less
-
Field
-
Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
-
to a highly motivated and independent researcher with a strong interest in soil physics, root–soil interactions, and molecular cell biology. Applicants must hold a PhD in molecular biology, plant biology
-
basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have a PhD in physics, biophysics, biochemistry, physical chemistry, engineering, or a
-
Sciences The research focus of this role will be collection and processing of varied laboratory sample or drill core data, including infrared hyperspectral images to produce high throughput proxies
-
About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
-
assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
-
About the Role This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics
-
to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
-
expert partners, LRAs will harness interdisciplinary scientific methods to advance a new digital coast paradigm, nature-based solutions, and social innovation. Key responsibilities and duties: As a
-
statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following