Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- Cranfield University
- University of East Anglia
- University of Birmingham
- Newcastle University
- University of Birmingham;
- Loughborough University
- Swansea University
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter;
- University of Nottingham
- Imperial College London;
- The University of Manchester
- University of East Anglia;
- Edinburgh Napier University;
- University of Warwick;
- ;
- Imperial College London
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh;
- University of Cambridge
- University of Nottingham;
- University of Oxford
- University of Plymouth
- University of Plymouth;
- University of Sheffield
- University of Sheffield;
- AALTO UNIVERSITY
- Edinburgh Napier University
- Loughborough University;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- Nottingham Trent University
- The University of Edinburgh
- Ulster University
- University of Glasgow
- University of Greenwich;
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford;
- University of Surrey
- University of Surrey;
- University of Warwick
- 38 more »
- « less
-
Field
-
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
-
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
-
biomes, such as boreal, mediterranean, and temperate conifer forests, fire seasons appear to be lengthening and intensity increasing. In others, including tropical forests in Brazil and the Congo, large
-
threats to biodiversity. Freshwaters are disproportionately affected by such invasions, and home to a disproportionately large proportion of biodiversity, especially invertebrates. They also provide
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
visiting SRC for collaborative data processing and participating in seismic survey on the island arc. The candidate will benefit from working with a large multi-disciplinary research team recently funded by
-
professional networks. Candidate’s profile Knowledge of quantum computing and an understanding of challenges of building large-scale systems Programming skills in Python A good Bachelor’s Hons degree (2.1
-
, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
-term risk to society (WEF, 2025). The increasing advance of large language models (LLMs) has led to a rapid rise in LLM misuse by malicious actors, for the purposes of low-cost generation of fake news