Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of East Anglia
- University of Birmingham
- Cranfield University
- University of Birmingham;
- University of Cambridge;
- Imperial College London;
- Loughborough University
- The University of Manchester
- University of East Anglia;
- Edinburgh Napier University;
- University of Nottingham
- University of Sheffield
- KINGS COLLEGE LONDON
- Newcastle University
- The Institute of Cancer Research
- The University of Manchester;
- University of Exeter;
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Plymouth;
- University of Sheffield;
- ;
- AALTO UNIVERSITY
- Coventry University Group;
- Durham University;
- Edinburgh Napier University
- Imperial College London
- King's College London;
- Loughborough University;
- Manchester Metropolitan University
- Newcastle University;
- Swansea University
- Swansea University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- Ulster University
- University of Cambridge
- University of Glasgow
- University of Greenwich;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Plymouth
- University of Surrey
- 39 more »
- « less
-
Field
-
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
-
and Innovation rates Payment of university tuition fees The budget for project costs is £9,000 which can be used for computer, lab, and fieldwork costs necessary for you to conduct your research
-
with the world’s highest volcanic activity, yet eruption histories, geological maps, and monitoring data are incomplete or absent. Volcanoes capable of very large magnitude eruptions (M ≥ 6), with
-
. This is further hindered by a lack of diverse big data resources and matched, powerful analytical tools. As a result, progress in the field has been characteristically slow over the last 50 years
-
highly effective, but inherently energy-intensive and requires the construction of large tailings storage facilities to manage waste rock and processing by-products. This approach has caused widespread
-
range and vast number of influencing factors makes understanding, preventing, and treating these behaviours highly challenging. This is further hindered by a lack of diverse big data resources and matched
-
skills in running large scale NLP models (e.g. BERT, GPT) for financial text analysis. The candidate shall have strong research skills of using LLM-based models for firms financial Information summary
-
for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
-
for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
-
, 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