Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- KINGS COLLEGE LONDON
- University of Oxford
- ;
- King's College London
- AALTO UNIVERSITY
- Nature Careers
- University of Cambridge
- ; University of Cambridge
- Aston University
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Exeter;
- University of Glasgow
- Aston University;
- City University London
- DURHAM UNIVERSITY
- Heriot Watt University
- Heriot-Watt University;
- King's College London;
- Northumbria University;
- UCL;
- University of Cambridge;
- University of Exeter
- University of Glasgow;
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford;
- University of Reading
- University of Sheffield
- jobs.ac.uk
- 22 more »
- « less
-
Field
-
to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
-
the delivery of the 3-year EPSRC Funded ‘Digitally Enabled Circular Healthcare Innovation’ (DECHI) research programme. The aim of the programme is to investigate how advances in digital technologies and digital
-
prison sites, recruitment and data collection, and complex data analysis. You should have a PhD (or near to completion) and an Undergraduate degree in psychology or a relevant discipline. You will have
-
. The successful applicant will support a multi-institutional team of computational biologists, immunologists and microbiologists to fully characterise the role of, and the interactions between, bacteria genotype
-
About us We are seeking a highly motivated postdoctoral research associate to join the group of Dr Saidul Islam at the Department of Chemistry, King’s College London, as part of our programme
-
About us We are seeking a highly motivated postdoctoral research associate to join the group of Dr Saidul Islam at the Department of Chemistry, King’s College London, as part of our programme
-
of this pathology. Platelet activation is a highly dynamic process underpinned by complex signalling events, culminating in thrombus formation. Our project will map key signalling events that govern platelet and
-
within the framework of the agreed research programme to allow for deadlines for project outputs to be met • Liaise on a regular basis with external partners including archives and educational
-
this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
-
analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial