Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- University of Glasgow
- KINGS COLLEGE LONDON
- DURHAM UNIVERSITY
- Nature Careers
- University of Cambridge
- University of Liverpool
- University of London
- Imperial College London
- University of Manchester
- ; Technical University of Denmark
- ; University of Oxford
- Aston University
- Harper Adams University
- Heriot Watt University
- John Innes Centre
- King's College London
- Liverpool John Moores University
- Manchester Metropolitan University
- St George's University of London
- UNIVERSITY OF STRATHCLYDE
- UNIVERSITY OF VIENNA
- University of Leeds
- University of Newcastle
- 16 more »
- « less
-
Field
-
research, fundamental cell biology and cell signalling with excellent shared facilities including the Centre for Proteome Research, the Computational Biology Facility, the Liverpool Centre for Cell Imaging
-
an interdisciplinary team working to build this new paradigm of environmentally-friendly and functional living materials, which can be used in diverse application domains. The project team includes leaders in
-
a series of high-resolution FRET biosensors to track such dynamics for gibberellin, abscisic acid, auxin and salicylic acid in living plants. The Jones group combines imaging of FRET biosensors with
-
integrated THz technologies for THz time-domain spectroscopy and imaging. The project will unite novel nanowire THz technology from Oxford with unique custom-designed integrated circuits from project partners
-
cultures. Experience in molecular biology methodologies, following and adapting protocols and setting up cellular assays including image-based is essential for this role, and knowledge of neuroinflammation
-
, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. -Familiarity with bioinformatics and computational biology
-
to build a controlled microenvironment in the form of a gliovascular interface on a chip in order to make detailed measurements of glymphatic regulation using advanced imaging techniques. The successful
-
responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
-
responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
-
of Engineering Science (Headington). The post is funded by UKRI and is fixed-term for up to 24 months. The researcher will work with Professor Christopher Proctor to develop prototype bioelectronic technologies