Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- Cranfield University
- University of East Anglia
- University of Birmingham
- University of Birmingham;
- The University of Manchester
- UCL
- University of Exeter;
- Imperial College London;
- Loughborough University
- University of Cambridge;
- University of East Anglia;
- Edinburgh Napier University;
- University of Nottingham
- University of Plymouth;
- University of Sheffield
- Newcastle University
- Swansea University
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- ;
- AALTO UNIVERSITY
- Coventry University Group;
- Durham University;
- Edinburgh Napier University
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London;
- Loughborough University;
- Manchester Metropolitan University
- Newcastle University;
- Ulster University
- University of Cambridge
- University of Glasgow
- University of Greenwich;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford;
- University of Plymouth
- University of Surrey
- University of Surrey;
- 40 more »
- « less
-
Field
-
, the construction of the geological model remains a significant challenge. The geological model is key because it constrains the volumes and data used when inferring the mineral resources, which in turn inform
-
lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
-
, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is how long such disturbances last and, critically, how
-
, encompassing advanced geospatial analysis, remote sensing methods, atmospheric transport modelling, and epidemiological data integration. The researcher will also receive guidance in handling large datasets
-
PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
environments. Training and Student Development: The student will gain hands-on experience in: Molecular biology and aptamer engineering Nanopore fabrication and single-molecule sensing Data acquisition and
-
having been used by humans and integrated the data with a global bivalve database of species traits, fossil occurrences and geographic distributions, setting the foundation for a forecasting framework
-
scintillation combines excellent detection efficiency for gamma rays with high scintillation light yields and very large Stoke’s shifts of >300nm. Unlike traditional inorganic scintillators, perovskite
-
atmospheric CO2 . Low iron input is needed for a large drawdown, offering a feasible route to help reduce climate change. Algae and resulting detritus sink to the ocean floor, locking carbon up permanently
-
research as a doctoral student you will be passionate about using large-scale data to address important questions in cancer research, have strong experience of quantitative analyses, and be a positive
-
scales is poor, and the UK’s national emission inventory carries large uncertainties. This gap hinders effective assessment of the true health and environmental impacts of woodburning. This studentship