Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; Swansea University
- University of Newcastle
- ; The University of Manchester
- ; University of Surrey
- The University of Manchester
- UNIVERSITY OF VIENNA
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Southampton
- Harper Adams University
- University of Oxford
- University of Sheffield
- ; Brunel University London
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Nottingham
- Brunel University
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- University of Cambridge
- University of Manchester
- University of Warwick
- University of Warwick;
- ; Aston University
- ; City St George’s, University of London
- ; Durham University
- ; King's College London
- ; University of Bristol
- ; University of East London
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Strathclyde
- ; University of Warwick
- AALTO UNIVERSITY
- Heriot-Watt University;
- Imperial College London
- King's College London
- Loughborough University
- Loughborough University;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- University of Bristol
- University of Glasgow
- University of Hertfordshire
- University of Liverpool
- University of Surrey
- VIN UNIVERSITY
- 46 more »
- « less
-
Field
-
. when do we stop modelling? How do we track / score the quality of the model? What is the required level of quality over time? How can quality be brought to the required level? Can Machine Learning, Large
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
-
Almost all radar systems currently transmit from the same location. This kind of radar modality has been optimised for decades, however the challenge to detect very small and very fast objects
-
novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
-
the integration of research findings into the broader Sliding Lands project. Key research objectives include: Building a time-series data cube of landsliding across New Zealand using satellite imagery archives
-
partners. Our research group is housed within the state-of-the-art £117M Dalton building facilities at Manchester Met. Project aims and objectives The primary objective of the study is to study the effects
-
methodological approach through three key objectives, focusing on generations, intergenerational practice and policymaking and programmes in community sport for development. respectively. A fourth objective
-
When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
-
Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
-
in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of