Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Imperial College London;
- Loughborough University
- University of Nottingham
- Newcastle University
- The University of Manchester
- AALTO UNIVERSITY
- University of Birmingham;
- University of Sheffield
- ; Loughborough University
- Edinburgh Napier University;
- Imperial College London
- King's College London Department of Engineering
- The University of Manchester;
- University of Birmingham
- University of Bristol
- University of Leeds;
- University of Oxford
- University of Oxford;
- University of Strathclyde;
- University of Surrey
- 11 more »
- « less
-
Field
-
to the design of aircraft, wind turbines and medical devices, and for modelling the environment. Remarkable advances in computing driven by the exponential miniaturisation of transistors (Moore’s law) have
-
, 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
-
-driven changes in rainfall. This poses significant flood risk to homes, businesses and infrastructure. For example, during the winter of 2015/2016, mine water flooding at Kibblesworth in Gateshead flooded
-
Software Development: Building the Next-Generation Trust Maturity Model Integrating DevOps practices into ML-driven systems: A Framework and Maturity Model for Continuous Machine Learning Development
-
models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone
-
This PhD project aims to achieve a breakthrough in thermal efficiency (>50%) for dual-piston Free-Piston Engine Generators (FPEGs). The research will pioneer a novel, integrated methodology
-
some of the biggest challenges in medicine today? Join us to explore groundbreaking science that could revolutionize how we treat inflammation-driven age-related diseases and promote healthier ageing
-
challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
-
models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
-
MEng degree (or equivalent) and a PhD in Maritime Engineering and Technology or pertinent disciplines (Res Assistant if no PhD), adequate knowledge of modelling marine engines operations with alternative