Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- University of Nottingham
- University of Cambridge
- ; Newcastle University
- ; University of Exeter
- ; The University of Manchester
- ; University of Birmingham
- ; University of Leeds
- Harper Adams University
- Imperial College London
- ; University of Cambridge
- ; University of Oxford
- ; University of Plymouth
- ; University of Surrey
- Newcastle University
- The University of Manchester
- University of Newcastle
- ; Brunel University London
- ; Cranfield University
- ; Edge Hill University
- ; Imperial College London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Sheffield
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- University of Exeter
- University of Sheffield
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Hertfordshire
- ; University of Hull
- ; University of Nottingham
- ; University of Reading
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Durham University
- Nottingham Trent University
- UNIVERSITY OF MELBOURNE
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Glasgow
- University of Hertfordshire
- University of Nottingham;
- University of Plymouth
- University of Warwick
- 46 more »
- « less
-
Field
-
needs. By bridging human-centric innovation, generative algorithms, and sustainability metrics, this project seeks to redefine how novel products and systems are conceived, developed, and evaluated. You
-
optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
-
in leaf size, shape and surface texture, all species have an astonishing ability to self-right when flipped over. Preliminary data indicate that drastic differences in surface wettability between
-
similarities (such as parallel micro-ridges), but also clear differences (such as presence or absence of trichomes or nectar glands on the surface). This interdisciplinary PhD project investigates (1
-
behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
-
optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
-
will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
-
collaboration with Innospec, aims to investigate how different catalysts influence CNT growth, structure, and performance. Specifically, the study will compare different CNT catalysts, evaluating their impact on
-
Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
-
harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that